Patent Application
20210152805
The present invention relates to optical scanners, particularly for providing a digital representation of three-dimensional objects including color. The invention finds particular application in the surveying of the intraoral cavity.
Many methods have been developed for obtaining the three dimensional location of surface points of an object, for a host of applications including, inter alia, the intraoral cavity. Techniques for direct non-contact optical measurement, in particular for direct optical measurement of teeth and the subsequent automatic manufacture of dentures, are known. The term “direct optical measurement” signifies surveying of teeth in the oral cavity of a patient. This facilitates the obtainment of digital constructional data necessary for the computer-assisted design (CAD) or computer-assisted manufacture (CAM) of tooth replacements without having to make any cast impressions of the teeth. Such systems typically include an optical probe coupled to an optical pick-up or receiver such as charge coupled device (CCD) and a processor implementing a suitable image processing technique to design and fabricate virtually the desired product. Such methods include, for example, confocal imaging techniques as described in WO 00/08415 assigned to the present assignee. These methods provide a digital three-dimensional surface model that is inherently monochromatic, i.e., no color information is obtained in the imaging process.
Associating color information with three-dimensional objects is not straightforward, particularly when the position information is obtained by using a three dimensional scanning method, while the color information is obtained by using a two dimensional scanning method. The problem of conformally mapping the two dimensional color information onto the three dimensional surface model is difficult and it is common for mismatching of the color with three-dimensional points to occur. Essentially, where two-dimensional color detectors are used for obtaining the color information, it is difficult to accurately associate color information from the detectors with the correct points on the three dimensional surface model, particularly where relative movement between the object and the device occurs between the acquisition of the three-dimensional topological data and acquisition of the two-dimensional image data.
EP 837 659 describes a process and device for obtaining a three dimensional image of teeth. Three-dimensional surface data is obtained by first covering the surface with an opaque, diffusely reflecting material, and the object is illuminated with monochromatic light. The image of the object under the layer is obtained by the process described in U.S. Pat. No. 4,575,805 using intensity pattern techniques. In order to obtain a two-dimensional color image of the object, the reflecting layer has to be removed. The method thus requires the camera to be manually re-aligned so that the two-dimensional color image should more or less correspond to the same part of the object as the three dimensional image. Then, the three dimensional image may be viewed on a screen as a two-dimensional image, and it is possible to superimpose on this two-dimensional image the two-dimensional color image of the teeth taken by the camera.
U.S. Pat. No. 6,594,539 provides an intraoral imaging system that produces images of a dental surface, including three dimensional surface images and also two dimensional color images, with the same camera.
In U.S. Pat. No. 5,440,393, the shape and dimensions of a dental patients mouth cavity including upper and lower tooth areas and the jaw structure, are measured by an optical scanner using an external radiation source, whose reflected signals are received externally and converted into electronic signals for analysis by a computer. Both surface radiation and reflection from translucent internal surfaces are scanned, and processing of reflections may involve a triangulation system or holograms.
In U.S. Pat. No. 5,864,640, a scanner is described having a multiple view detector responsive to a broad spectrum of visible light. The detector is operative to develop several images of a three dimensional object to be scanned. The images are taken from several relative angles with respect to the object. The images depict several surface portions of the object to be scanned. A digital processor, coupled to the detector, is responsive to the images and is operative to develop with a computational unit 3-D coordinate positions and related image information of the surface portions of the object, and provides 3-D surface information that is linked to color information without need to conformally map 2-D color data onto 3-D surface.
Of general background interest, U.S. Pat. Nos. 4,836,674, 5,690,486, 6,525,819, EP 0367647 and U.S. Pat. No. 5,766,006 describe devices for measuring the color of teeth.
In accordance with the present invention, a device and method for determining the surface topology and color of at least a portion of a three dimensional structure is provided. Preferred non-limiting embodiments of the invention are concerned with the imaging of a three-dimensional topology of a teeth segment, optionally including such where one or more teeth are missing. This may allow the generation of data for subsequent use in design and manufacture of, for example, prosthesis of one or more teeth for incorporation into said teeth segment. Particular examples are the manufacture of crowns, bridges dental restorations or dental filings. The color and surface data is provided in a form that is highly manipulable and useful in many applications including prosthesis color matching and orthodontics, among others.
The determination of the 3D surface topology of a portion of a three-dimensional structure is preferably carried out using a confocal focusing method, comprising:
(a) providing an array of incident light beams propagating in an optical path leading through a focusing optics and a probing face; the focusing optics defining one or more focal planes forward said probing face in a position changeable by said optics, each light beam having its focus on one of said one or more focal plane; the beams generating a plurality of illuminated spots on the structure;
(b) detecting intensity of returned light beams propagating from each of these spots along an optical path opposite to that of the incident light;
(c) repeating steps (a) and (b) a plurality of times, each time changing position of the focal plane relative to the structure; and
(d) for each of the illuminated spots, determining a spot-specific position, being the position of the respective focal plane, yielding a maximum measured intensity of a respective returned light beam; and based on the determined spot-specific positions, generating data representative of the topology of said portion.
The determination of the spot-specific positions in fact amounts to determination of the in-focus distance. The determination of the spot-specific position may be by measuring the intensity per se, or typically is performed by measuring the displacement (S) derivative of the intensity (I) curve (dI/dS) and determining the relative position in which this derivative function indicates a maximum intensity. The term “spot-specific position (SSP)” will be used to denote the relative in-focus position regardless of the manner in which it is determined. It should be understood that the SSP is always a relative position as the absolute position depends on the position of the sensing face. However the generation of the surface topology does not require knowledge of the absolute position, as all dimensions in the cubic field of view are absolute.
The SSP for each illuminated spot will be different for different spots. The position of each spot in an X-Y frame of reference is known and by knowing the relative positions of the focal plane needed in order to obtain maximum intensity (namely by determining the SSP), the Z or depth coordinate can be associated with each spot and thus by knowing the X-YZ coordinates of each spot the surface topology can be generated.
In order to determine the Z coordinate (namely the SSP) of each illuminated spot the position of the focal plane may be scanned over the entire range of depth or Z component possible for the measured surface portion. Alternatively the beams may have components, each of which has a different focal plane. Thus, by independent determination of SSP for the different light components, e.g. 2 or 3 with respective corresponding 2 or 3 focal planes, the position of the focal planes may be changed by the focusing optics to scan only part of the possible depth range, with all focal planes together covering the expected depth range. Alternatively, the determination of the SSP may involve a focal plane scan of only part of the potential depth range and for illuminated spots where a maximum illuminated intensity was not reached, the SSP is determined by extrapolation from the measured values or other mathematical signal processing methods. Thus, in each case, a Z-value is obtained for each point along an X-Y grid representing a plurality of light beams. In this manner, a three-dimensional (3D) numerical entity E may be crated, comprising a plurality of coordinates (X, Y, Z) representative of the surface topology of the object being scanned.
Alternatively, any other suitable method may be employed to obtain the 3D entity E.
According to the present invention, a two dimensional (2D) color image of the 3D structure that is being scanned is also obtained, but typically within a short time interval with respect to the 3D scan. Further, the 2D color image is taken at substantially the same angle and orientation with respect to the structure as was the case when the 3D scan was taken. Accordingly, there is very little or no substantial distortion between the X-Y plane of 3D scan, and the plane of the image, i.e., both planes are substantially parallel, and moreover substantially the same portion of the structure should be comprised in both the 3D scan and the 2D image. This means that each X-Y point on the 2D image substantially corresponds to a similar point on the 3D scan having the same relative X-Y values. Accordingly, the same point of the structure being scanned has substantially the same X-Y coordinates in both the 2D image and the 3D scan, and thus the color value at each X, Y coordinate of the 2D color scan may be mapped directly to the spatial coordinates in the 3D scan having the same X, Y coordinates, wherein to create a numerical entity I representing the color and surface topology of the structure being scanned.
Where the X, Y coordinates of the color image do not precisely correspond to those of the 3D scan, for example as may arise where one CCD is for the 3D scanning, while another CCD is used for the 2D color image, suitable interpolation methods may be employed to map the color data to the 3D spartial data.
To provide a more accurate mapping, it is possible to construct a 2D image along the X-Y plane of the 3D model, and using procedures such as optical recognition, manipulate the color 2D image to best fit over this 3D image. This procedure may be used to correct for any slight misalignment between the 2D color scan and the 3D scan. Once the color 2D image has been suitably manipulated, the color values of the color 2D image are mapped onto the adjusted X-Y coordinates of the 3D scan.
Thus the present invention provides a relatively simple and effective way for mapping 2D color information onto a 3D surface model.
The present invention thus provides a device and method for obtaining a numerical entity that represents the color and surface topology of an object. When applied particularly to the intraoral cavity, the device of the invention provides advantages over monochrome 3D scaners, including such scanners that are based on confocal focusing techniques. For example, the 2D color image capability on its own enables the dental practitioner to identify the area of interest within the oral cavity with a great degree of confidence in order to better aim the device for the 3D scanning. In other words, an improved viewfinder is automatically provided. Further, rendition of a full color 3D image of the target area can help the practitioner to decide on the spot whether the scan is sufficiently good, or whether there are still parts of the teeth or soft tissues that should have been included, and thus help the practitioner to decide whether or not to acquire another 3D color entity.
Creation of a color 3D entity that is manipulable by a computer is extremely useful in enabling the practitioner to obtain data from such an entity that is useful for procedures carried out in the dental cavity.
Thus, according to the present invention, a device is provided for determining the surface topology and associated color of at least a portion of a three dimensional structure, comprising:
scanning means adapted for providing depth data of said portion corresponding to a two-dimensional reference array substantially orthogonal to a depth direction;
imaging means adapted for providing two-dimensional color image data of said portion associated with said reference array;
wherein the device is adapted for maintaining a spatial disposition with respect to said portion that is substantially fixed during operation of said scanning means and said imaging means. In other words, operation of the scanning means and the imaging means is substantially or effectively simultaneous in practical terms, and thus the actual time interval that may exist between operation of the two means is so short that the amplitude of any mechanical vibration of the device or movement of the oral cavity will be so small as can be ignored.
The device is adapted for providing a time interval between acquisition of said depth data and acquisition of said color image data such that substantially no significant relative movement between said device and said portion occurs. The time interval may be between about 0 seconds to about 100 milliseconds, for example 5, 10, 20, 30, 40, 50, 60, 70, 80, 90 or 100 milliseconds, and preferably between about 0 to about 50 milliseconds, and more preferably between about 0 and 20 milliseconds.
The device further comprise processing means for associating said color data with said depth data for corresponding data points of said reference array. In described embodiments, the operation of said scanning means is based on confocal imaging techniques. Such scanning means may comprise:
a probing member with a sensing face;
first illumination means for providing a first array of incident light beams transmitted towards the structure along an optical path through said probing unit to generate illuminated spots on said portion along said depth direction, wherein said first array is defined within said reference array;
a light focusing optics defining one or more focal planes forward said probing face at a position changeable by said optics, each light beam having its focus on one of said one or more focal plane;
a translation mechanism for displacing said focal plane relative to the structure along an axis defined by the propagation of the incident light beams;
a first detector having an array of sensing elements for measuring intensity of each of a plurality of light beams returning from said spots propagating through an optical path opposite to that of the incident light beams;
a processor coupled to said detector for determining for each light beam a spot-specific position, being the position of the respective focal plane of said one or more focal planes yielding maximum measured intensity of the returned light beam, and based on the determined spot-specific positions, generating data representative of the topology of said portion.
The first array is arranged to provide depth data at a plurality of predetermined spatial coordinates substantially corresponding to the spatial disposition of said incident light beams.
The first illumination means comprises a source emitting a parent light beam and a beam splitter for splitting the parent beam into said array of incident light beams. The first illumination means may comprise a grating or microlens array.
The device may comprise a polarizer for polarizing said incident light beams are polarized. Further, the device may comprise a polarization filter for filtering out from the returned light beams light components having the polarization of the incident light beams.
The illumination unit may comprise at least two light sources and each of said incident beams is composed of light components from the at least two light sources. The at least two light sources emit each a light component of different wavelength. The light directing optics defines a different focal plane for each light component and the detector independently detects intensity of each light components.
The at least two light sources may be located so as to define optical paths of different lengths for the incident light beams emitted by each of the at least two light sources.
Typically, the focusing optics operates in a telecentric confocal mode. Optionally, the light directing optics comprises optical fibers.
Typically, the sensing elements are an array of charge coupled devices (CCD). The detector unit may comprise a pinhole array, each pinhole corresponding to one of the CCDs in the CCD array.
The operation of said imaging means may be based on:
illuminating said portion with three differently-colored illumination radiations, the said illuminations being combinable to provide white light,
capturing a monochromatic image of said portion corresponding to each said illuminating radiation, and
combining the monochromatic images to create a full color image,
wherein each said illuminating radiation is provided in the form of a second array of incident light beams transmitted towards the portion along an optical path through said probing unit to generate illuminated spots on said portion along said depth direction, wherein said second array is defined within said reference frame.
The second array is arranged to provide color data at a plurality of spatial coordinates substantially corresponding to the spatial coordinates of said first array. The device may comprise color illumination means adapted for providing three second illuminating radiations, each of a different color. The color illumination means comprises second illumination means for providing said three second illuminating radiations, each of a different color. Alternatively, the color illumination means comprises second illumination means for providing two said second illuminating radiations, and wherein said first illumination means provides another said second illuminating radiation each said second illuminating radiation being of a different color. Optionally, each one of said second illumination radiations is a different one of red, green or blue light. The second illumination means may comprise radiation transmission elements that are configured to be located out of the path of said light beams or said returned light beam at least within said light focusing optics. The probing member may be made from a light transmissive material having an upstream optical interface with said light focusing optics and a reflective face for reflecting light between said optical interface and said sensing face. The second illumination means may be optically coupled to said optical interface for selectively transmitting illuminating radiations in at least two colors to said portion via said sensing face. The color illumination means may comprise second illumination means for providing two said second illuminating radiations, and wherein said first illumination means provides another said second illuminating radiation each said second illuminating radiation being of a different color. The probing member may comprise a removable sheath having an inner surface substantially complementary to an outer surface of said probing member, and having a window in registry with said sensing face, wherein said sheath is made from a waveguiding material and is adapted to transmit said light from said second illuminating means from an upstream face thereof to a downstream face associated with said window. The second illumination means may be optically coupled to said upstream face for selectively transmitting said second illuminating radiations in at least two colors to said portion via said downstream face. Preferably, the sheath is disposable after use with a patient.
In another embodiment, the reflective face comprises a dichroic coating, having relatively high reflectivity and low optical transmission properties for a said second illuminating radiation provided by said first illumination means, and relatively low reflectivity and high optical transmission properties for the two said second illuminating radiations provided by said second illumination means.
The second illumination means may be adapted for providing second illuminating radiations within said light focusing optics. In particular, the second illumination means may be adapted for providing second illuminating radiations at an aperture stop plane of said light focusing optics. The second illumination means may be provided on a bracket having an aperture configured to allow said light beams and said returning light beams to pass therethrough without being optically affected by said bracket.
Optionally, the device further comprises:
a first polarizing element located just downstream of said illumination means so as to polarize the light emitted therefrom;
a second polarizing element located just upstream of said first detector, wherein said second polarizing element is crossed with respect to the first polarizing element; and
a quarter waveplate at the downstream end of said device.
Further optionally the second illumination means are adapted for selective movement in the depth direction.
The device may comprise a mirror inclined to the optical axis of said light focusing optics and having, an aperture configured to allow said light beams and said returning light beams to pass therethrough without being optically affected by said mirror, and wherein said second illumination means comprises at least one white illumination source optically coupled with suitable color filters, said filters selectively providing illumination radiation in each color in cooperation with said white illumination source, wherein said mirror is coupled to said white illumination source to direct radiation therefrom along said optical axis. The white illumination source may comprise a phosphorus InGaN LED. The filters may be arranged on sectors of a rotatable disc coupled to a motor, predetermined selective angular motion of said disc selectively couples said white illumination source to each said filter in turn.
Optionally, the second illumination means are in the form of suitable LED's, comprising at least one LED for providing illumination radiation in each color. Optionally, the second illumination means are in the form of suitable LED's, comprising at least one white illumination source optically coupled with suitable color filters, said filters selectively providing illumination radiation in each color in cooperation with said white illumination source. The white illumination source may comprise a phosphorus InGaN LED. The filters may be arranged on sectors of a rotatable disc coupled to a motor, predetermined selective angular motion of said disc selectively couples said white illumination source to each said filter in turn. The device may further comprise a plurality of optical fibers in optical communication with said filters and with radiation transmission elements comprised in said second illumination means.
The first detector is adapted for selectively measuring intensity of each said second illuminating radiation after reflection from said portion.
Alternatively, the operation of said imaging means is based on illuminating said portion with substantially white illumination radiation, and capturing a color image of said portion, wherein said white illuminating radiation is provided in the form of a second array of incident light beams transmitted towards the portion along an optical path through said probing unit to generate illuminated spots on said portion along said depth direction, wherein said second array is defined within said reference frame. The second array is arranged to provide color data at a plurality of spatial coordinates substantially corresponding to the spatial coordinates of said first array. The imaging means comprises:—
white illumination radiation means;
second detector having an array of sensing elements for measuring intensity of said white illuminating radiation after reflection from said portion.
Alternatively, the operation of said imaging means is based on illuminating said portion with substantially white illumination radiation, selectively passing radiation reflected from said portion through a number of color filters, capturing a monochromatic image of said portion corresponding to each said filter, and combining the monochromatic images to create a full color image, wherein said illuminating radiation is provided in the form of a second array of incident light beams transmitted towards the portion along an optical path through said probing unit to generate illuminated spots on said portion along said depth direction, wherein said second array is defined within said reference frame. The second array is arranged to provide color data at a plurality of spatial coordinates substantially corresponding to the spatial coordinates of said first array.
Alternatively, the operation of said imaging means is based on illuminating said portion with three differently-colored illumination radiations, capturing a monochromatic image of said portion corresponding to each said illuminating radiation, and combining the monochromatic images to create a full color image, wherein each said illuminating radiation is provided in the form of a second array of incident light beams transmitted towards the portion along an optical path through said probing unit to generate illuminated spots on said portion along said depth direction, wherein said second array is defined within said reference frame, and wherein said illuminating radiations are provided by said first illumination source. The second array is arranged to provide color data at a plurality of spatial coordinates substantially corresponding to the spatial coordinates of said first array.
The device may further comprise a tri-color sequence generator for controlling the illumination of said portion with said second illuminating radiations.
The device further comprises a processor coupled to said detector for conformally mapping color data provided by said imaging means to said depth data provided by said scanning means for each said spatial coordinates of said first array to provide a color three-dimensional numerical entity comprising a plurality of data points, each data point comprising three-dimensional surface coordinate data and color data associated therewith. The device may also optionally comprise a unit for generating manufacturing data for transmission to CAD/CAM device based on said entity, and a communication port of a communication medium.
The device is adapted for determining color and surface topology of a teeth portion, but may be used for determining color and surface topology of any suitable surface.
The present invention is also directed to a method for determining the surface topology and associated color of at least a portion of a three dimensional structure, comprising:
(a) providing depth data of said portion corresponding to a two-dimensional reference array substantially orthogonal to a depth direction;
(b) providing two-dimensional image data of said portion associated with said reference array;
(c) ensuring that a spatial disposition with respect to said portion during steps (a) and (b) is substantially fixed;
(d) conformally mapping said color data to said depth data for said reference array.
Preferably, in step (c), a minimum time interval is allowed between acquisition of said depth data and acquisition of said image data. The time interval may be between about 0 seconds to about 100 milliseconds, preferably between 0 and 50 milliseconds, and more preferably between 0 and 20 milliseconds.
In described embodiments, the depth data is provided using confocal imaging techniques. The method can then comprise:
(i) providing a first array of incident light beams defined within said reference array propagating in an optical path leading through a focusing optics and through a probing face; the focusing optics defining one or more focal planes forward said probing face in a position changeable by said optics, each light beam having its focus on one of said one or more focal plane; the beams generating a plurality of illuminated spots on the structure;
(ii) detecting intensity of returned light beams propagating from each of these spots along an optical path opposite to that of the incident light;
(iii) repeating steps (i) and (ii) a plurality of times, each time changing position of the focal plane relative to the structure;
(iv) for each of the illuminated spots, determining a spot-specific position, being the position of the respective focal plane yielding a maximum measured intensity of a respective returned light beam; and
(v) generating data representative of the topology of said portion.
Step (ii) may be based on illuminating said portion with at least three differently-colored illumination radiations, said illumination radiations being combinable to produce white radiation, capturing a monochromatic image of said portion corresponding to each said illuminating radiation, and combining the monochromatic images to create a full color image, wherein each said illuminating radiation is provided in the form of a second array of incident light beams transmitted towards the portion along an optical path through said probing unit to generate illuminated spots on said portion along said depth direction, wherein said second array is defined within said reference frame. The second array is arranged to provide color data at a plurality of spatial coordinates substantially corresponding to the spatial coordinates of said first array.
Optionally, the sources for the at least three colored illuminations may be located at the confocal system aperture stop, and facing the objective lens of the system. Preferably, the illumination sources are configured to have a relatively low numerical aperture compared with that of the first array of light beams. Further preferably, the confocal system is configured for chromatically dispersing said colored illuminations therethrough.
Preferably, the method further comprises providing an improved focus 2D color image of said structure, comprising:—
(I) sequentially illuminating the structure with each one of a plurality of illuminations, each said illumination having a different wavelength in the visible spectrum;
(II) providing a monochrome image of the structure when illuminated with each illumination in (I);
(III) manipulating image data obtained in (II) to provide a best focus composite image;
(IV) manipulating image data in (II) and (III) to provide a composite focused color image of the structure.
Further preferably, the said sources for the colored illuminations are moveable in the depth direction.
Optionally, the method of the invention further comprises the steps of:
polarizing the emitted colored illuminations by means of a first polarizing element;
modifying the said polarized color illuminations on the way to the structure and on their return therefrom by means of a quarter waveplate;
causing the returning color illuminations to pass through a second polarizing element located just upstream of said first detector, wherein said second polarizing element is crossed with respect to the first polarizing element.
Step (ii) may be based on illuminating said portion with substantially white illumination radiation, selectively passing radiation reflected from said portion through a number of color filters, capturing a monochromatic image of said portion corresponding to each said filter, and combining the monochromatic images to create a full color image, wherein said illuminating radiation is provided in the form of a second array of incident light beams transmitted towards the portion along an optical path through said probing unit to generate illuminated spots on said portion along said depth direction, wherein said second array is defined within said reference frame. The second array is arranged to provide color data at a plurality of spatial coordinates substantially corresponding to the spatial coordinates of said first array.
Step (ii) may be based on illuminating said portion with three differently-colored illumination radiations, capturing a monochromatic image of said portion corresponding to each said illuminating radiation, and combining the monochromatic images to create a full color image, wherein each said illuminating radiation is provided in the form of a second array of incident light beams transmitted towards the portion along an optical path through said probing unit to generate illuminated spots on said portion along said depth direction, wherein said second array is defined within said reference frame, and wherein said illuminating radiations are provided by said first illumination source. The second array is arranged to provide color data at a plurality of spatial coordinates substantially corresponding to the spatial coordinates of said first array.
The data representative of said topology may be used for constructing an object to be fitted within said structure, or may be converted into a form transmissible through a communication medium to recipient. Typically, the structure is a teeth segment. The structure may be a teeth segment with at least one missing tooth or a portion of a tooth and said object is said at least one missing tooth or the portion of the tooth. Thus, for example, steps (i) to (v) may be repeated for two different surfaces of said structure to provide surface topologies thereof, and the surface topologies may then be combined to obtain color and topological data representative of said structure.
The method of the invention, and also the operation of the device of the present invention, may be modified to take account of any possible relative movement between the device and the intra oral cavity, for example as follows:—
(a) providing depth data of said portion corresponding to a two-dimensional reference array substantially orthogonal to a depth direction;
(b) providing two-dimensional image data of said portion associated with said reference array;
(c) repeating step (a);
(d) for each image color data point obtained in step (b), i.e., for each particular (x, y) point on the array for which a color value was obtained in step (b), providing an estimated value for depth, based on the depth values obtained in steps (a) and (c) for the same part of the array, i.e. based on the Z-values obtained for the same (x, y) point in steps (a) and (c). The estimated value may be based on a simple arithmetic mean, on a weighted mean, or on any suitable empirical or theoretical formula, algorithm and so on.
Of course, step (a) may be repeated a number of times consecutively before step (b), and optionally also after step (b), the time intervals between each step being taken. In any case, for each point on the array (x, y), the values of depth Z may be plotted against elapsed time, for steps (a) (single or repeated), through step (b) and steps (c) (single or repeated), and the best estimate of the value of Z corresponding to the time interval when step (b) was carried out can be calculated, using, for example, any suitable interpolation or curve-fitting method.
Alternatively, the method of the invention, and thus the operation of the device of the present invention, may be modified to take account of any possible relative movement between the device and the intra oral cavity, for example as follows:
(a) providing two-dimensional image data of said portion associated with said reference array;
(b) providing depth data of said portion corresponding to a two-dimensional reference array substantially orthogonal to a depth direction;
(c) repeating step (a);
(d) for each depth data point obtained in step (b), i.e., for each particular (x, y) point on the array for which a depth value was obtained in step (b), providing an estimated value for color, based on the color values obtained in steps (a) and (c) for the same part of the array, i.e. based on the C-values obtained for the same (x, y) point in steps (a) and (c). The estimated value may be based on a simple arithmetic mean, on a weighted mean, or on any suitable empirical or theoretical formula, algorithm and so on.
Of course, step (a) may optionally be repeated a number of times consecutively before step (b), and optionally also after step (b), the time intervals between each step being taken. In any case, for each point on the array (x, y), the values of color C may be plotted against elapsed time, for steps (a) (single or repeated), through step (b) and steps (c) (single or repeated), and the best estimate of the value of C corresponding to the time interval when step (b) was carried out can be calculated, using, for example, any suitable interpolation or curve-fitting method.
Optionally, the steps of providing color values and depth values may be repeated in any sequence, for example in alternate sequence, and a suitable color value may be associated with a corresponding depth value, similarly to the manner described above, mutatis mutandis.
The invention also relates to a method for reconstruction of color and topology of a three-dimensional structure comprising:
determining surface topologies from at least two different positions or angular locations relative to the structure, by the method of the invention described above;
combining the surface topologies to obtain color and topological data representative of said structure.
The method may be applied to the reconstruction of topology of a teeth portion, and comprise the steps:
determining surface topologies of at least a buccal surface and a lingual surface of the teeth portion;
combining the surface topologies to obtain data representative of a three-dimensional structure of said teeth portion.
The method may be applied to obtaining data representative of a three-dimensional structure of a teeth portion with at least one missing tooth or a portion of a tooth.
The data may be used in a process of designing or manufacturing of a prostheses of said at least one missing tooth or a portion of a tooth. Such a prosthesis may be, for example, a crown, a bridge, a dental restoration or a dental filing.
The present invention is directed to a method of providing data useful in procedures associated with the oral cavity comprising:
providing at least one numerical entity representative of the three-dimensional surface geometry and colour of at least part of the intra-oral cavity; and
manipulating said entity to provide desired data therefrom.
Typically, the numerical entity comprises surface geometry and colour data associated with said part of the intra-oral cavity, and the colour data includes actual or perceived visual characteristics including hue, chroma, value, translucency, reflectance.
In an first embodiment, particularly useful for differentiating a first tissue from a second tissue, wherein said first tissue comprises substantially different colour characteristics from those of said second tissue, comprises
separating said surface geometry and colour data into at least two tissue data sets, wherein
a first said tissue data set comprises surface geometry and colour data, wherein said colour data thereof is correlated with a colour representative of said first tissue; and
a second said tissue data set comprises surface geometry and colour data, wherein said colour data thereof is correlated with a colour representative of said second tissue.
The first tissue comprises hard tissues such as teeth, and the soft tissue comprises at least one of gums, tongue, cheeks and lips.
The first tissue data set may correspond to a plurality of teeth of said intraoral cavity, and in the next step the first tissue data set is divided into a plurality of sub data sets, wherein each said sub data set correspond to a different said tooth.
In the next step, the sub data sets may be manipulated in a manner simulating an orthodontic treatment on said teeth.
Optionally, the sub data sets may be displayed as images corresponding to individual teeth.
The first embodiment may also be used for determining the finish line for a dental preparation.
The second embodiment is particularly useful for stitching at least two said entities, wherein at least a portion of said entities comprise overlapping spatial data, comprising:—
for each entity providing at least one sub entity comprising a first tissue data set comprising surface geometry and colour data, wherein said colour data thereof is correlated with a colour representative of a first tissue; and
stitching said first tissue data sets together based on registering
portions of said data set comprising said overlapping spatial data.
The first tissue may comprise hard tissues of the intraoral cavity, such as
for example teeth.
Optionally, the method may further comprise the step of:
for each entity separating said surface geometry and colour data into a second tissue data set, comprising surface geometry and colour data, wherein said colour data thereof is correlated with a colour representative of a second tissue.
The second tissue typically comprises the soft tissues of the intraoral cavity, including at least one of gums, tongue, cheeks and lips.
In one variation of the method, step (b) comprises:
providing coarse stitching of the original entities of step (a) by registering overlapping spatial data thereof to determine coarse spatial relationships between said entities;
applying said coarse spatial relationships to said first tissue data sets to facilitate registration of overlapping portions ; and
stitching said first tissue data sets together based on registering said overlapping portions.
By eliminating the data associated with the soft tissues, and proceeding with stitching only the hard tissues using the colour data, the quality of the stitching procedure is significantly better than when using the full infra-oral data for the stitching procedure.
A third embodiment is particularly useful for providing a finish line for a preparation area in said intraoral cavity, though it may also be used for virtually separating the teeth from the gums. The method comprises:—
comparing the colour data for each pair of spatially adjacent data points in said numerical entity;
if the colour data for said pair of data points are substantially different
one from the other, providing one said data point of said pair of data points; and
(c) applying a search algorithm for identifying said finish line in said numerical entity, wherein said application of said algorithm is initially applied to a part of said entity corresponding to the said provided data points of step (b).
Optionally, in step (b) the data point of said pair of data points having colour data associated with a hard tissue is provided for step (c).
In a fourth embodiment of the invention, the colour data associated with at least one tooth of said intraoral cavity is used for providing shading data for a prosthesis for use in said intraoral cavity.
The method typically includes the steps:
providing separate numerical sub-entities each associated with a different one of at least one tooth within said infra-oral cavity;
providing a prosthesis entity comprising surface geometrical data, said prosthesis entity being associated with a desired prosthesis;
mapping colour data from at least one sub entity in step (a) to said
prosthesis entity according to predetermined criteria.
Optionally, step (c) comprises
transforming the geometrical data of each said separate numerical sub-entities to correspond to a predetermined geometrical form, and mapping said colour data to said geometrical form to provide for each said separate numerical sub-entity a transformed sub-entity;
transforming the geometrical data in (b) to correspond to said prosthesis entity and mapping colour data associated with the transformed sub-entity to said prosthesis entity.
Optionally, in step (a) a single numerical sub-entity associated with one tooth within said infra-oral cavity is provided.
Alternatively, in step (a) a plurality of separate numerical sub-entities associated with a corresponding plurality of teeth within said infra-oral cavity are provided; and wherein in step (c) the said transformed sub-entities are combined to a single transformed sub-entity, wherein colour data corresponding to said plurality of numerical sub-entities in (a) are combined in a predetermined manner. Such a predetermined manner comprises averaging the colour value at each corresponding data point of said plurality of numerical sub-entities in (a). Optionally, the predetermined manner comprises weight averaging the colour value at each corresponding data point of said plurality of numerical sub-entities in (a).
Typically, step (a) comprises:—
separating said surface geometry and colour data into at least two tissue data sets, wherein
a first said tissue data set comprises surface geometry and colour data, wherein said colour data thereof is correlated with a colour representative of said first tissue; and
a second said tissue data set comprises surface geometry and colour data wherein said colour data thereof is correlated with a colour representative of said second tissue.
The first tissue comprises hard tissues such as teeth, and the soft tissue comprises at least one of gums, tongue, cheeks and lips.
The first tissue data set may correspond to a plurality of teeth of said intraoral cavity, and in the next step the first tissue data set is divided into a plurality of sub data sets, wherein each said sub data set correspond to a different said tooth.
In another aspect of the present invention, a computer readable medium is provided that embodies in a tangible manner a program executable for providing data useful in procedures associated with the oral cavity. The computer readable medium comprises:
a first set of data representative of the three dimensional surface geometry and colour of at least part of the intra oral cavity;
means for manipulating said first data set to provide desired data therefrom.
The medium may comprise, for example, optical discs, magnetic discs, magnetic tapes, and so on.
All publications, patents, and patent applications mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent, or patent application was specifically and individually indicated to be incorporated by reference.
The novel features of the invention are set forth with particularity in the appended claims. A better understanding of the features and advantages of the present invention will be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of the invention are utilized, and the accompanying drawings of which:
In order to understand the invention and to see how it may be carried out in practice, a number of embodiments will now be described, by way of non-limiting example only, with reference to the accompanying drawings, in which:
The first step of the method according to the present invention relates to providing at least one numerical entity that is representative of the three-dimensional surface geometry and colour of at least part of the intra-oral cavity.
The said numerical entity is typically at least “four-dimensional”, that is, each data point of the data set comprises at least four prime independent variables. In the preferred embodiments of the invention, three of the prime independent variables relate to spatial coordinates of a surface, typically defined along orthogonal Cartesian axes, x, y, z. Alternatively, these variables may be defined along polar axes or any other geometric system in which a surface may be described. The fourth prime independent variable refers to a colour parameter that is expressed numerically and associated with the spatial coordinates. The colour parameter may itself be comprised of independent prime colour variables—for example relating to the red, blue and green (RGB) components associated with the colour parameter. Alternatively, the colour parameter may be expressed in terms of the Hue, Saturation and Intensity (HIS). Alternatively, any other colour parameter may be used, including parameters that provide a measure of internal reflectance and translucency, or any other optical property of teeth.
Thus, the numerical entity may comprise a data set of a plurality of 4-dimensional arrays—(x, y, z, c), wherein each array represents the x, y, z, geometrical coordinates and the colour c of a point on a surface within the intra-oral cavity.
Any suitable means may be used to provide the numerical entity. For example, a three-dimensional surface scanner with colour capabilities may be used. Advantageously, such a scanner makes use of confocal imaging for providing an accurate three-dimensional representation of the target surface within the intra-oral cavity. Colour values are then added to each data point of this data set by obtaining a two-dimensional colour image of the target surface, and then mapping the colour values of the two-dimensional image onto the three-dimensional “image”.
The following are examples on how to obtain the 3d colour numerical entity.
Reference is first being made to
The device 100 comprises a main illumination source 31 for illuminating the object of interest 26, typically a part of the intraoral cavity, and is optically coupled to main optics 41 to provide depth Z values for an array range of X-Y points (according to a known frame of reference) along the surface of the object 26. Detection optics 60 comprises an image sensor, typically a CCD, that is preferably monochromatic to maximize the resolution of the device, and which typically defines the X-Y frame of reference. Alternatively, the CCD may be adapted to receive color images. The detection optics 60 receives image data from the main optics 41 and the image processor 24 determines the depth Z values for each X-Y point illuminated on the object 26 based on this image data. In this manner, a manipulable three-dimensional numerical entity E comprising the surface coordinates of the object 26.
The device 100 further comprises color illuminating means, such as for example a tri-color sequence generator 74, for selectively illuminating the object 26 with suitable colors, typically Green, Red and Blue, and for each such monochromatic illumination, a two dimensional image of the object 26 is captured by the detection optics 60. The processor 24 then processes the three differently colored monochromatic images and combines the same to provide a full color 2D image of the object. The device 100 is configured for providing color data for an array of X-Y points that is according to the same frame of reference as the X-Y array used for obtaining the 3D entity.
The processor 24 aligns the 2D color image with the 3D entity previously created, and then provides color values to this entity by mapping color values to the entity at aligned X-Y points. Such alignment is straightforward because both the 3D data and the 2D color data are referenced to the same X-Y frame of reference. Referring to
Were the relative angle and disposition between the plane of the sensing face of the detection optics 60 with respect to the object 26 change significantly between the 2D and the 3D scans, then the X-Y coordinates of entity E having similar values to the X′-Y′ coordinates of entity N could correspond to different parts of the object 26, and thus it may then be difficult to map the color values of entity N to entity E. However, if only a small movement between the detection optics 60 with respect to the object 26 occurs, particularly involving a relative translation or a rotation about the depth direction (Z), but substantially no change in the angular disposition between detection optics 60 and the object 26 about the X or Y axes, it may still be possible to map the color values of entity N to entity E, but first an alignment procedure must be followed.
Referring to
The main optics 41, main illumination source 31, detection optics 60 and image processor 24 are now described with reference to
The system 20 comprises an optical device 22 coupled to a processor 24. Optical device 22 comprises, in this specific embodiment, a semiconductor laser unit 28 emitting a laser light, as represented by arrow 30. The light passes through a polarizer 32 which gives rise to a certain polarization of the light passing through polarizer 32. The light then enters into an optic expander 34 which improves the numerical aperture of the light beam 30. The light beam 30 then passes through a module 38, which may, for example, be a grating or a micro lens array which splits the parent beam 30 into a plurality of incident light beams 36, represented here, for ease of illustration, by a single line. The operation principles of module 38 are known per se and the art and these principles will thus not be elaborated herein.
The optical device 22 further comprises a partially transparent mirror 40 having a small central aperture. It allows transfer of light from the laser source through the downstream optics, but reflects light travelling in the opposite direction. It should be noted that in principle, rather than a partially transparent mirror other optical components with a similar function may also be used, e.g. a beam splitter. The aperture in the mirror 40 improves the measurement accuracy of the apparatus. As a result of this mirror structure the light beams will yield a light annulus on the illuminated area of the imaged object as long as the area is not in focus; and the annulus will turn into a completely illuminated spot once in focus. This will ensure that a difference between the measured intensity when out-of- and in-focus will be larger. Another advantage of a mirror of this kind, as opposed to a beam splitter, is that in the case of the mirror internal reflections which occur in a beam splitter are avoided, and hence the signal-to-noise ratio improves.
The unit further comprises a confocal optics 42, typically operating in a telecentric mode, a relay optics 44, and an endoscopic probing member 46. Elements 42, 44 and 46 are generally as known per se. It should however be noted that telecentric confocal optics avoids distance-introduced magnification changes and maintains the same magnification of the image over a wide range of distances in the Z direction (the Z direction being the direction of beam propagation). The relay optics enables to maintain a certain numerical aperture of the beam's propagation.
The endoscopic probing member 46 typically comprises a rigid, light-transmitting medium, which may be a hollow object defining within it a light transmission path or an object made of a light transmitting material, e.g. a glass body or tube. At its end, the endoscopic probe typically comprises a mirror of the kind ensuring a total internal reflection and which thus directs the incident light beams towards the teeth segment 26. The endoscope 46 thus emits a plurality of incident light beams 48 impinging on to the surface of the teeth section.
Incident light beams 48 form an array of light beams arranged in an X-Y plane, in the Cartesian frame 50, propagating along the Z axis. As the surface on which the incident light beams hits is an uneven surface, the illuminated spots 52 are displaced from one another along the Z axis, at different (Xi, Yi) locations. Thus, while a spot at one location may be in focus of the optical element 42, spots at other locations may be out-of-focus. Therefore, the light intensity of the returned light beams (see below) of the focused spots will be at its peak, while the light intensity at other spots will be off peak. Thus, for each illuminated spot, a plurality of measurements of light intensity are made at different positions along the Z-axis and for each of such (Xi, Yi) location, typically the derivative of the intensity over distance (Z) will be made, the Zi yielding maximum derivative, Z0, will be the in-focus distance. As pointed out above, where, as a result of use of the punctured mirror 40, the incident light forms a light disk on the surface when out of focus and a complete light spot only when in focus, the distance derivative will be larger when approaching in-focus position thus increasing accuracy of the measurement.
The light scattered from each of the light spots includes a beam travelling initially in the Z-axis along the opposite direction of the optical path traveled by the incident light beams. Each returned light beam 54 corresponds to one of the incident light beams 36. Given the unsymmetrical properties of mirror 40, the returned light beams are reflected in the direction of the detection optics 60. The detection optics 60 comprises a polarizer 62 that has a plane of preferred polarization oriented normal to the plane polarization of polarizer 32. The returned polarized light beam 54 pass through an imaging optic 64, typically a lens or a plurality of lenses; and then through a matrix 66 comprising an array of pinholes. CCD camera has a matrix or sensing elements each representing a pixel of the image and each one corresponding to one pinhole in the array 66.
The CCD camera is connected to the image-capturing module 80 of processor unit 24. Thus, each light intensity measured; in each of the sensing elements of the CCD camera is then grabbed and analyzed, in a manner to be described below, by processor 24.
Unit 22 further comprises a control module 70 connected to a controlling operation of both semi-conducting laser 28 and a motor 72. Motor 72 is linked to telecentric confocal optics 42 for changing the relative location of the focal plane of the optics 42 along the Z-axis. In a single sequence of operation, control unit 70 induces motor 72 to displace the optical element 42 to change the focal plane location and then, after receipt of a feedback that the location has changed, control module 70 will induce laser 28 to generate a light pulse. At the same time, it will synchronize image-capturing module 80 to grab data representative of the light intensity from each of the sensing elements. Then in subsequent sequences the focal plane will change in the same manner and the data capturing will continue over a wide focal range of optics 44.
Image capturing module 80 is connected to a CPU 82, which then determines the relative intensity in each pixel over the entire range of focal planes of optics 42, 44. As explained above, once a certain light spot is in focus, the measured intensity will be maximal. Thus, by determining the 1 corresponding to the maximal light intensity or by determining the maximum displacement derivative of the light intensity, for each pixel, the relative position of each light spot along the Z-axis can be determined. Thus, data representative of the three-dimensional pattern of a surface in the teeth segment, can be obtained. This three-dimensional representation may be displayed on a display 84 and manipulated for viewing, e.g. viewing from different angles, zooming-in or out, by the user control module 86 (typically a computer keyboard).
The device 100 further comprises means for providing a 2D color image of the same object 26, and any suitable technique may be used for providing the color image. A number of such techniques are described below.
The first technique is based on illuminating the object 26 sequentially with three different colored lights such as red, green and blue, and capturing a monochromatic image corresponding to each color via CCD 68 and the image capture device 80 (see
According to a first embodiment of the device 100, the delivery optics 73 is integral with endoscope 46, which is in the form of a probing member 90, as illustrated in
The LED's 77 typically comprise different LED's for providing blue radiation and green radiation when red illuminating radiation is used as the illumination source 31 for the main optics 41 when creating the 3D entity. Alternatively, if a blue illuminating radiation is used as the illumination source 31, the LED's 77 may comprise green and red LED's, and if a green illuminating radiation is used as the illumination source 31, LED's 77 may comprise blue and red LED's.
The tri-color LED's 77 are each capable of providing an illumination radiation in one of three colors, typically red, green or blue, as controlled via the tri-color sequence generator. Alternatively, a plurality of LED's in three groups, each group providing illumination in one of the desired colors, may be provided. The LED's 77 are located at the periphery of the interface 78 such that the LED's do not interfere with the other optical operations of the device 100. In particular such operations include the transmission of the illuminating radiation for the confocal focusing operations, and also the transmission of reflected light from the object 26 to the main optics 41 to provide the 3D entity or the 2D color entity. The LED's are mounted substantially orthogonally with respect to the interface 78, and thus, as illustrated in
According to a second embodiment of the device 100, the endoscope 46, is also in the form of a probing member 90, substantially as described with respect to the first embodiment, but with the difference that there are no LED's directly mounted thereon at the interface 78, mutatis mutandis. In the second embodiment the delivery optics 73 is in the form of a disposable sleeve, shroud or sheath 190 that covers the outer surface the probing member 90, as illustrated in
In either one of the first or second embodiments, or variations thereof, a red laser may be used as the illumination source 28 for the main optics when creating the 3D entity. As such, this illumination means may also be used to obtain the red monochromatic image for the creation of the 2D color image, by illuminating the object 26 and recording the image with the optical detector 60. Accordingly, rather than tri-color LED's or LED's or three different colors, it is only necessary to provide LED's adapted to provide only the remaining two colors, green and blue. A similar situation arises if the illumination source for the main optics 41 is a green or blue laser, wherein illuminating radiations in only the remaining two colors need to be provided, mutatis mutandis.
In these embodiments, the positioning of the illumination sources at the upstream end of the probe 90 where there is ample room rather than at the patient interface end 79 where space is tight.
According to a third embodiment of the device 100, the endoscope 46 is also in the form of a probing member 90, substantially as described with respect to the second embodiment with the following differences, mutatis mutandis. As illustrated in
In a fourth embodiment of the device 100, and referring to
Referring to
The device 100 according to a variation of the fourth embodiment is further adapted for providing improved precision of the color data obtained therewith. In this connection, the device 100 according to this variation of the fourth embodiment is adapted such that the tri-color light sources 377 each illuminate the object 26 with as wide a depth of field as possible, i.e., at a low numerical aperture. Thus, each set of light sources 377 of the same color, for example blue, illuminates a particular depth of the object 26 in the z-direction while substantially in focus. In contrast, the numerical aperture of the confocal system itself is relatively high to maximize accuracy of the depth measurements, and thus provides a relatively narrower depth of field.
Advantageously, the optical system downstream of the light sources 377, in this embodiment the objective lens 166, is chromatic, and in particular maximizes the chromatic dispersion therethrough. Alternatively or additionally, a chromatic dispersion element, for example an optically refractive block of suitable refractive index, may be provided along the optical path between the light sources 377 and the object 26. Thus, each one of the different-colored light sources 377 illuminates a different portion of the object 26 along the z-direction. The light sources 377 providing the blue illumination illuminate in focus a portion of the object 26 closest to the device 100, and the light sources 377 providing the red illumination illuminate in focus a portion of the object 26 furthest from the device 100. At the same time, the light sources 377 providing the green illumination illuminate in focus a portion of the object 26 intermediate the blue and red portions, and a non-illuminated gap may exists between the red and green, and between the green and blue illuminated portions, the depth of these gaps depending on the dispersion characteristics of the downstream optics. Advantageously, the light sources 377 are also adapted for providing illumination in colors intermediate in wavelengths such as to illuminate the aforesaid gaps in focus. Thus, the LED's 385 may be adapted for providing both such additional colored illumination, or some of the LED's 385 may be adapted to provide colored illumination at a first intermediate wavelength, while another set of LED's 385 may be adapted to provide colored illumination at a second intermediate wavelength. For example, the first intermediate wavelength provides an illumination in aqua, and thus illuminates in focus at least a part of the gaps between the blue and green illuminated focused zones of the object 26, while the second intermediate wavelength provides an illumination in amber, and thus illuminates in focus at least a part the gaps between the green and red illuminated focused zones. Of course, additional light sources may be used to provide further intermediate wavelengths and thus provide further depth cover illumination, in focus, of the object.
While the device 100 is used as a viewfinder, typically prior to taking a depth and color scan of the object 26, the above arrangement using at least five different colored illuminations at a low numerical aperture, enables a much clearer and focused real-time color image of the object 26 to be obtained. Thus when in operation in viewfinder mode (also known as “aiming mode”, prior to the 3D scan event, while the dental practitioner is in the process of aiming the scanner onto the target dental surface, for example) the device 100 according to this variation of the fourth embodiment repeatedly illuminates the object 26 in cycles, wherein in each cycle the object 26 is separately illuminated in each of the five colors blue, aqua, green, amber, red, in quick succession, and each time a monochromatic image is obtained by the monochromatic image sensor in 60. Each set of five monochromatic images is then analysed to provide a composite color image, and this image is then displayed in substantially real time in the viewfinder display window in the control software, so that the succession of such composite images gives the appearance of a substantially real-time color video feed of the object 26.
Each of the monochrome images in any particular set corresponds to a particular illumination color or wavelength, and thus the zone(s) of the object 26 within the depth of field corresponding to this illumination will be in focus, while the other parts of the object 26 will appear out of focus. Thus, each such image in the aforesaid set of images will contain a portion which has high precision focused image of a part of the object, for the particular illumination wavelength.
In forming a composite image for each set of images, the images are combined in such a way as to maximize the precision of the focused image and corresponding color thereof. Thus, for example, suitable algorithms may be applied to each of the five images of a set to distinguish between the focused and unfocused the areas thereof. Such algorithms may employ, for example, techniques which apply FFT techniques to areas of the images, and which search for high frequency portions which correspond to focused areas. In any case, such algorithms, as well as software and hardware to accomplish the same are well known in the art. Then, the focused areas of each of the five images are merged to provide a monochrome composite substantially focused image of the object. Next, the images obtained using the red, green and blue illuminations are combined and converted to a corresponding luminescence/chroma (Y/C) image, and techniques for doing so are well known in the art. Finally, the luminescence component of the luminescence/chroma (Y/C) image is replaced with the aforesaid corresponding composite focus image, and the resulting new luminescence/chroma image is then transmitted to the display in the viewfinder.
For each set of images, prior to combining the corresponding red, green and blue images, these are preferably first scaled to compensate for magnification effects of the different wavelengths. Thus, the green image, and more so the blue image, needs to be scaled up to match the red image.
When the user is ready to take a depth and color scan of the object 26, having steered the device 100 into position with the aid of the viewfinder, the device 100 takes a depth scan in the z-direction as described herein, and either before or after the same, but in quick succession one with the other, takes a color scan in a similar manner to that described above for the viewfinder mode, mutatis mutandis. Subsequently, the color data and the depth data of the two scans can be combined to provide the full spatial and color data for the surface scanned.
Advantageously, one or more color scans may also be taken during the depth scan, and/or at the beginning and at the end of the depth scan. In one mode of operation, the depth scan is obtained by displacing the objective lends 166 along the z-direction in a continuous or stepped motion. Multiple color scans can then be obtained by associating the color sources 377 with the objective lens, so that these are also displaced along the z-direction. Accordingly, as the light sources 377 are moved in the z-direction towards the object 26 during the depth scan, at each different z-position in which a set of images is taken (concurrently with or alternately with the depth scan), each one of the colored illuminations—red, green, blue and intermediate wavelengths—illuminates a progressively deeper part of the object along the z-direction. Of course, in some cases it is possible that at the downstream end of the depth scan the green and red illuminations completely overshoot the object 26, and the corresponding images may be discarded or otherwise manipulated to provide a composite color image at this station. Thus, a plurality of color images can be obtained, each based on a different z-position, so that each illumination wavelength is used to illuminate in focus a different part (depth) of the object 26. Advantageously, suitable algorithms may be used to form a composite color image of the set of color images associated with a particular z-scan of the object 26 to provide even more precise and accurate color image, than can then be combined with the depth data.
Alternatively, and referring to
A fifth embodiment of system 100 is substantially similar to the fourth embodiment as described herein, with the following difference, mutatis mutandis. In the fifth embodiment, and referring to
A sixth embodiment of the system 100 is substantially as described for the fourth embodiment, with the following difference, mutatis mutandis. In the sixth embodiment, and referring to
According to a second technique for providing the aforesaid 2D color image, the object 26 is illuminated with a white light, and a color CCD is used for receiving the light reflected from the object 26. Thus, a seventh embodiment of the system 100 comprises a white light illumination system 600, illustrated in
The mirror 620 is adapted to flip away from optical axis OA when the device 100 is being used for obtaining the 3D entity E. This allows illumination light from the illuminating unit 31 to pass therethrough and to the object 26, and to allow light coming from the object 26 to pass therethrough and to the detection optics 60, without being affected by the mirror 620. When it is desired to take a 2D color image, the mirror 620 is flipped down to the position shown in
Alternatively, the CCD of the detection optics 60 is a color CCD and is also used for the 2D scan. In such a case, flipping mirror 620 is replaced with a fixed mirror having a central aperture similar to mirror 520, having a central aperture, as described for the sixth embodiment, mutatis mutandis.
In the seventh embodiment, the image capture device 80 and processing software 82 (
According to a third technique for providing the 2D color image, the object is illuminated with a white light, and the light reflected from the object 26 is passed sequentially through one of three different colored filters such as red, green and blue. Each time a monochromatic image corresponding to each color is captured via CCD 68 and the image capture device 80 (see
According to a fourth technique for providing the color image, the main illumination source 31 of device 100 comprises suitable means for providing the three different colored illuminations. In one embodiment, the illumination source 31 comprises three different lasers, each one providing an illumination radiation at a different desired color, red green or blue. In another embodiment, a suitable white light illumination means is provided, coupled to a suitable rotating tri-color filter, similar to the filters described above, mutatis mutandis. In each case, suitable control means are provided, adapted to illuminate the object 26 with each colored radiation in turn, and the 2D colored image is obtained in a similar fashion to that described above, mutatis mutandis. The object is also illuminated with one of the colored illuminations in order to provide the 3D surface topology data.
In each of the embodiments described herein, the illumination radiation that is used for obtaining the 2D color image is injected into the optical axis OA of the confocal optics 42 without affecting the operation thereof or degrading the 3D image capture.
The endoscope 46, the illumination unit 31, the main optics 41, color illumination 71 and tri-color sequence genetrator are preferably included together in a unitary device, typically a hand-held device. The device preferably includes also the detector optics 60, though the latter may be connected to the remainder of the device via a suitable optical link such as a fibre optics cable.
For all embodiments, the data representative of the surface topology and color, i.e., entity I, may be transmitted through an appropriate data port, e.g. a modem 88 (
By capturing, in this manner, an image from two or more angular locations around the structure, e.g. in the case of a teeth segment from the buccal direction, from the lingual direction and optionally from above the teeth, an accurate color three-dimensional representation of the teeth segment may be reconstructed. This may allow a virtual reconstruction of the three-dimensional structure in a computerized environment or a physical reconstruction in a CAD/CAM apparatus.
While the present device has been described in the context of a particular embodiment of an optical scanner that uses confocal focusing techniques for obtaining the 3D entity, the device may comprise any other confocal focusing arrangement, for example as described in WO 00/08415. In fact, any suitable means for providing 3D scanning can be used so long as the 3D scan and the color 2D scan correspond substantially to the same object or portion thereof being scanned, and the same frames of references are maintained. Typically the scans are executed in relatively quick succession, and by the same or different image capturing means such as CCD's that are arranged such that the color 2D image substantially corresponds to the 3D entity. This enables color values at particular x, y coordinates of the 2D color image to be, matched to the same x, y coordinates of the 3D image which also have a z coordinate.
While four main embodiments of the present invention are now described hereinbelow, it may be appreciated that the method of the invention may be used for a very wide variety of applications in which intra oral cavity data may be obtained for use in procedures associated with the oral cavity.
Referring to
In the next step 1120, the value of the colour parameter c is analysed for each data point in I, and compared with at least one colour criterion, and typically with at least two colour ranges R1, R2. The ranges R1, R2 each represent the values of the colour parameter expected for one or another of the two tissues, such as the teeth and gums. For example, the colour range R1 for the teeth will include values for c typically associated with the hard tissues including the teeth, comprising all appropriate shades appropriate for enamel, dentine, pulp and other parts of teeth. Similarly, the colour range R2 for the soft tissues will include values for c typically associated with gums, cheeks, lips and the tongue including all appropriate shades of pink and red associated with these tissues, including when the tissues are at least partially drained of blood, as may happen, for example when the tissues are anaesthetised. In some cases it may be appropriate to compare the value of the colour parameter c with a specific value, for example a single (R, G, B) or Rc value, rather than a range of values.
Table I lists typical RGB values measured for gums, lips and teeth of a particular patient. As may be seen from Table I, values of Rc significantly greater than unity indicate that the red component is dominant, which is the case for soft tissues in general. Hard tissues, on the other hand, have a more even distribution of colour components, resulting in an Rc value very close to unity.
Thus, an exemplary range for R1 may be from about 0.9 to about 1.1, while an exemplary range for R2 may be from less than about 1.2 to a maximum of 3.0.
The ranges R1, R2 should preferably be sufficiently spaced one from the other and not overlap to facilitate distinction between the different tissues and to prevent ambiguity. At the same time, each range should include all possible variations of colour that may be expected for each of the tissues involved.
The actual values of the ranges R1, R2 may vary between individuals. For example, some individuals may have yellowing teeth and pale soft tissues, while others may have milky white teeth and reddish complexion. Optionally, it is possible to pre-calibrate the ranges R1, R2, for example by scanning an area that is purely soft tissue, and another dental area that is purely hard tissue, and using the colour values for the two scans as datum values for the two ranges R1, R2.
Optionally, each tissue type may also be associated with more than one range of colour values, and thus each one of R1, R2 may comprise a set of ranges. For example, R2 may actually include four separate ranges, each relating to the colour variations of one of the gums, cheeks, lips and tongue. Also, R1 may include a number of separate ranges, one range representative of the variations in the colour of natural teeth, while the other ranges relate to colours associated with prostheses and/or with fillings, particularly when made from materials which do not give a natural appearance to the prostheses, for example gold crowns or amalgam fillings.
In the next step 1130, the data points for entity I are sorted into at least two sub-data sets, I1, I2, according to the colour criteria, that is, for example, whether the value of the colour parameter of each data point is within R1 or R2, respectively. Thus, I1 will contain all data points in which the colour parameter thereof corresponds to the colour of teeth, and thus should comprise the coordinates relating to the surfaces of teeth only within the original entity I (optionally including prostheses and fillings). Similarly, I2 should contain all data points in which the colour parameter thereof corresponds to the colour of the soft tissues, and thus should comprise the coordinates relating to the soft tissues only within the original entity I.
In a modification to this embodiment, it may only be necessary or desired to identify one tissue, such as the teeth for example, and disregard all data not relating to this tissue. In such cases, it is only necessary to compare the value of the colour component of each data point to a single colour criterion, such as for example a predetermined range R1 relating to the teeth only, and then separate out these data points from the entity I to provide an entity I1 that comprises data relating only to the teeth. Of course, it may also be desired to include in this data set artificial teeth and also fillings that do not have a natural colour, and thus the range R1 may optionally include the appropriate values for the colour parameter relating thereto.
Once the original entity I has been separated into two entities, or wherein an entity I1 has been created from the original entity I comprising only the tissue of interest, the new entity may be further manipulated as desired. In step 1140, for example, when the new entity I1 comprises only teeth-related data, each individual tooth may be identified therein. In such a situation, the entity I1 is further separated out into a plurality of smaller entities I1′ each of which relates to a separate tooth. Typically, the separation of I1 into I1′ is automatically effected using any suitable algorithm
In step 1150, after the data relating to the individual teeth has been properly sorted, further manipulation may be carried out for each of the individual data sets of the entities I1′, for example to simulate a particular orthodontic treatment for the teeth.
This embodiment may also be applied to the identification of a finish line profile for a crown or bridge prosthesis.
The finish line may be regarded as the circumferential junction or shoulder between the upper prepared portion of the tooth and the lower unprepared portion of the tooth. The finish line may be above or below the visible gum line, i.e. the exterior visible line of gingival tissue which circumferentially surrounds the tooth. Frequently, the finish line is below the visible gum line and is uneven, i.e. the finish line varies in height along the circumferential direction and can rise or fall on the order of several millimetres in the generally vertical direction. The finish line may even, in some cases, extend as far downwardly as the attachment line, i.e. the circumferential line defined by the neck of the tooth and its immediately adjacent gingival tissue below the aforementioned visible gum line. As with the finish line, the attachment line is uneven and also typically varies several millimetres in height along the circumferential direction. The contour of the attachment line varies from tooth to tooth, as well as from patient to patient, and is not readily visible or accessible to the dentist because it is below the visible gum line. In such cases, a retention ring or wire, made of an elastically deformable material, may be placed around the preparation to retract the gum tissue around the preparation. The ring thus in many cases exposes at least part of the emerging profile—the surface of the tooth between the finish line and the gum.
The ring thus adopts a profile which may often be substantially similar to that of the finish line. By having the ring coloured sufficiently differently to the colour of the teeth or soft tissues, say in blue, it is relatively straightforward to separate out from the entity I all data points having a colour component with a value in a specific range corresponding to the colour of the ring. Identification of the ring itself provides a useful starting point for suitable algorithms that are then applied to determine the location and geometry of the finish line. Such algorithms are known and typically attempt to identify features commonly found with finish lines such as for example, a discontinuity in the slope of the tooth surface, or a mound-shaped projection corresponding to the preparation. Moreover, separation of the hard tissue from the soft tissue results in a smaller data base that needs to be analysed to identify the finish line. In particular, when the data set has been separated into entities then only the specific entity I1 corresponding to the ring needs to the analysed for the finish line, as this entity corresponds to the preparation.
In all variations of this embodiment, the comparison of value for the colour parameter c with an appropriate range, and the sorting of data points into one or more data sets according to this comparison can be executed with any suitable computer with the aid of a suitably constructed program. The manipulation of the entities at each stage with respect to the computer may be manual, interactive, or partially or fully automated.
In the second embodiment of the present invention, and referring to
In prior art methods, the overlap zones may be identified by numerically transforming the coordinates of an entity associated with one zone—by a series of translations and rotations—and in each case comparing the data set with the data set of another entity. This process is repeated until at least a portion of the data from the first entity coincides with at least a portion of the data from another entity. At this point, the data sets comprising the two sub-entities can be combined by adding both sets of coordinates, and discarding every data point that is repeated. However, some ambiguity may occur when using such a technique if a part of the intra-oral cavity (corresponding to part of the overlapping scanned data in some of the entities) moves in relation to other parts. For example, between one scan and another scan, part of the cheek may move relative to the teeth. It is then problematic to construct a composite entity comprising both scans since at least a part of the tissues (in this example the cheek) will be associated with two different data portions representative of the relative movement between scans.
In the second embodiment of the present invention, a method for stitching different data sets for the intraoral cavity is provided, in which the actual stitching technique is applied to data points corresponding to the hard tissues therein. Accordingly, in a second step 1220 of the method, the hard tissues including the teeth, fillings and prostheses are differentiated from the soft tissues including the gums, cheeks, lips and tongue. Substantially the same method as described above for first embodiment of the invention above may be utilized to identify the data, in each of the sub-entities (IS1, IS2, . . . ISn) that is associated with the hard tissues, mutatis mutandis. The data in these entities not corresponding to the hard tissues may de discarded or simply noted and set aside for future reference, thereby providing modified entities (IS′1, IS′2, . . . IS′n) comprising the data of interest relating to the hard tissues, for example.
In the next step 1230 of the method, the modified entities (IS′1, IS′2 . . . IS′n), are then manipulated in a similar manner in which the original entities (II, I2, . . . In) are manipulated in the prior art, mutatis mutandis, to register and then stitch the various modified entities (IS′1, IS′2, . . . IS′n) together to provide a composite entity I′ that comprises the data points corresponding at least to the hard tissues.
As an optional step, the data referring to the soft tissues may then be added to the composite entity I′ as follows. Referring to the soft tissue data corresponding to each scan as entities (IS″1, IS″2, . . . IS″n), each one of these entities is first manipulated in precisely the same manner as the corresponding entity of the group of modified entities (IS′1, IS′2, . . . IS′n) was manipulated in order to stitch the latter together into I′. After this, the coordinates of each pair of entities within the group (IS″1, IS″2, . . . IS″n) are compared in turn. Each pair of entities within the group (IS″1, IS″2, . . . IS″n) is checked to determine whether there exist some data points in one entity having two coordinates, say (x, y) identical to corresponding data points in the other entity, but in which the (z) coordinates are different. All such data points in either one or the other entity are then disregarded. In this manner, a composite entity I″ can be constructed for the soft tissues, which can then be added to, if desired to the composite entity I′ of the hard tissues previously created.
Typically, course stitching of the original sub entities (IS1, IS2, . . . ISn) is first carried out, and when the approximate relationships between the sub entities is known, a next step is performed, comprising fine stitching the corresponding separated hard-tissue sub entities (IS′1, IS′2, . . . IS′n).
In the third embodiment of the present invention, and referring to
As with other embodiments, the first step 1310 is to provide a numerical entity I that describes the target area—in this case the part of the intraoral cavity that comprises the finish line—geometrically and with respect to colour. Preferably, the target area is confined to the tooth having the preparation, and possibly the adjacent teeth. Then, in step 1320, an algorithm is applied to every pair of spatially adjacent data points, for example, wherein the value of the colour parameter c of each of these points are compared one with the other, or with respect to some colour criteria. When it is determined that the difference in colour values is greater than a predetermined threshold, it is then assumed that the pair of data points are on opposite sides of a boundary between two tissues of different colour, in particular between the edge of the tooth and the gum. Alternatively, the value of parameter c is compared with two predetermined ranges, R1, R2, wherein each range corresponds to a colour associated with one or the other of teeth and gums. Then, wherever there is a pair of adjacent data points in which one data point has a value for parameter c within R1 and the other data point has a value for parameter c within R2, once again these two data points are considered to be on either side of the boundary between a tooth and the gum. The process is repeated for each adjacent pair of points in the entity I, thereby providing in step 1330 another numerical entity IFL representative of the gum line and comprising topographic (as well as colour) information relating thereto.
Identification of the gum line itself provides a useful starting point for suitable algorithms that are then applied in step 1340 to determine the location and geometry of the finish line. Such algorithms typically attempt to identify features commonly found with finish lines, as has been described herein for the first embodiment. Thus, the algorithm is applied to the entity I, but staring with the surface data thereof corresponding to entity IFL.
In cases where the finish line is partially or fully located below the gum, a suitable ring may be placed between the neck of the tooth preparation and the gum such as to retract the latter and expose the finish line. The method according to the third embodiment may then be applied with a modification in that the boundary between the tooth material and the ring material is searched for, in a similar manner to that described regarding the boundary between the tooth material and gum, mutatis mutandis, which provides a starting point for algorithms that are then applied to identify the finish line.
Preferably, where the entity I is viewable as a two dimensional colour image on a screen, the method optionally further comprises the step of displaying on such an image of the entity I the finish line entity IFL, preferably in a colour having high contrast with respect to I, to enable the practitioner to check the result.
The method according to this embodiment may be modified to separate the soft tissues from the hard tissues, once the demarcation line between the two tissues is known, as determined above.
In the fourth embodiment of the invention, and referring to
In the next steps 1420, 1430, 1440, the entity I is manipulated such as to extract the data corresponding to the teeth only, and to separate this data into a set of discrete entities I1′ each of which represents an individual teeth, substantially as described regarding steps 1120, 1130 and 1140, respectively, for the first embodiment herein, mutatis mutandis.
Then, in step 1450, the decision is taken regarding which teeth are to be considered for modelling the shading of the prosthesis thereon. This decision may be made automatically, for example including only the adjacent teeth A, B, or the tooth D directly opposite the preparation area P, or any other appropriate tooth or combination of teeth. A suitable algorithm may be provided that recognizes which entity in I1′. corresponds to the area P, for example by determining the height of each tooth entity, and working out the entity having the shortest height. The height of each tooth may be obtained from the corresponding entity I1′IF by suitable algorithms and routines, as known in the art. The spatial relationship between the entity corresponding to the area P and the entities corresponding to the other teeth can then be determined in an automated manner by using simple geometrical rules.
Alternatively, the choice may be made manually, and this may be done, for example, by displaying the scanned and separated teeth entities on a suitable display, such as a computer screen for example, and then marking the desired tooth or teeth by means of a cursor or the like. It may be preferable to manually perform this selection, as it would be important not to include certain teeth with particular visual defects or irregularities, e.g. cavities, parts that require restorations, spots that need to be removed etc. that it is not wished to repeat in the prosthesis.
The data sets IP1′, corresponding to the chosen teeth are then analysed in turn, and in step 1460 a color map for the prosthesis is provided based on the colour data provided from data base IP1′.
Referring to
When only one tooth is chosen for basing the shading of the prosthesis on, i.e., corresponding to only a single entity IP1′, the transformed entity T thus obtained is then transformed again to assume the shape of the prosthesis, providing a prosthesis entity X, effectively mapping all the colour features of the entity IP1′ thereto. The shape of the prosthesis is previously determined by any suitable means, and this does not form part of the present invention. The entity X thus comprises the surface geometry of the prosthesis, and the shading information with respect to this geometry, including features x1-x5 transferred from features Z1-Z5 respectively, that will provide a similar appearance to that of the tooth on which the colour was modelled. In such a case, the intermediate step of transforming IP1′ to T may be dispensed with, and thus the entity IP1′ may be transformed directly into the form of the crown prosthesis, thereby providing the values for the colour c thereof.
Nevertheless, the inclusion of intermediate entity T may be useful.
Optionally, the tooth may be divided into three general zones: a gingival zone close to the gums, an intermediate body zone, and an incisal zone comprising the cusp of the tooth. The colours can be mapped into each of the zones independently, and then smoothed out between the zones to avoid sharp discontinuities in colour.
When a number of teeth are chosen to serve as the basis for shading the prosthesis, the entities I1′ corresponding to each of these teeth is transformed to a corresponding entity T′. Then, the colour data of the entities T′ are combined to provide a composite entity T of the same shape but having composite shading information obtained from all the entities I1′. For example the colour value at every geometrical point for all the entities T′ could be averaged. Alternatively, a weighted average of the colours could be provided, wherein more weight is given to teeth that are closest in location and/or function than to other teeth. Again, when such a combination of the colour information is effected, it is important to ensure that the various entities T′ are aligned with respect to the individual interproximal, buccal and lingual sides. The composite entity T is then transformed geometrically to conform to the shape of the prosthesis to provide entity X as described before, but wherein the composite colour values for parameter c are now transferred to the geometrical shape of the entity.
In the above example, the prosthesis has been exemplified as a crown. Nevertheless, the method may be applied to a bridge prosthesis, filing, restoration, or tooth transplant in a similar manner to that described, mutatis mutandis.
While the above embodiments have been described as operations carried out on discrete data points, it is clear that the method of the invention is applicable to similar operations being carried out on new data points suitably interpolated with respect to the original data points, mutatis mutandis. Furthermore, it is also possible to carry out the method of the invention when the numerical entity is structured in a different manner to that described herein, mutatis mutandis. For example, rather than being described as a series of discrete data points on a surface, the surface of the intra-oral cavity could be described as a series of segments, by suitable formulae, or by any other geometric modelling method.
an input utility 1520 for receiving data indicative of three dimensional colour data of the intraoral cavity, obtained directly using scanner 1525 (for example the device 100 described herein in reference to
a memory utility 1530 for storing the data;
a processor utility 1540 for manipulating said first data set to provide desired data therefrom, particularly using any algorithm according to the present method; and
output utility 1550.
System 1500 can be connected to a display 1560 or a printer (not shown) for visually presenting the manipulated entities. System 1500 can be also connectable to an additional utility such as a virtual treatment system 1510.
In another aspect of the present invention, a computer readable medium is provided that embodies in a tangible manner a program executable for providing data useful in procedures associated with the oral cavity. The computer readable medium comprises:
(a) a first set of data representative of the three dimensional surface geometry and colour of at least part of the intra oral cavity;
(b) means for manipulating said first data set to provide desired data therefrom.
The medium may comprise, for example, optical discs, magnetic discs, magnetic tapes, and so on.
The embodiments illustrated herein are particularly useful for determining the three-dimensional structure of a teeth segment, particularly a teeth segment where at least one tooth or portion of tooth is missing for the purpose of generating data of such a segment for subsequent use in design or manufacture of a prosthesis of the missing at least one tooth or portion, e.g. a crown, or a bridge, or a dental restoration or a filing. It should however be noted, that the invention is not limited to this embodiment, and applies, mutatis mutandis, also to a variety of other applications of imaging of three-dimensional structure of objects, e.g. for the recordal or archeological objects, for imaging of a three-dimensional structure of any of a variety of biological tissues, etc.
While there has been shown and disclosed exemplary embodiments in accordance with the invention, it will be appreciated that many changes may be made therein without departing from the spirit of the invention.
In the method claims that follow, alphabetic characters and Roman numerals used to designate claim steps are provided for convenience only and do not imply any particular order of performing the steps.
Finally, it should be noted that the word “comprising” as used throughout the appended claims is to be interpreted to mean “including but not limited to”.
While preferred embodiments of the present invention have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. Numerous variations, changes, and substitutions will now occur to those skilled in the art without departing from the invention. It should be understood that various alternatives to the embodiments of the invention described herein may be employed in practicing the invention. It is intended that the following claims define the scope of the invention and that methods and structures within the scope of these claims and their equivalents be covered thereby.
This application is a continuation of U.S. patent application Ser. No. 16/427,101, filed May 30, 2019, which is a continuation of U.S. patent application Ser. No. 16/270,419, filed Feb. 7, 2019, now U.S. Pat. No. 10,812,773, issued Oct. 20, 2020, which is a continuation of U.S. patent application Ser. No. 15/175,267, filed Jun. 7, 2016, which is a continuation of U.S. patent application Ser. No. 14/755,171, filed on Jun. 30, 2015, now U.S. Pat. No. 9,404,740, issued Aug. 2, 2016, which is a continuation of U.S. patent application Ser. No. 14/511,091, filed on Oct. 9, 2014, now U.S. Pat. No. 9,101,433, issued Aug. 11, 2015, which is a continuation of U.S. patent application Ser. No. 14/150,505, filed on Jan. 8, 2014, now U.S. Pat. No. 8,885,175, issued Nov. 11, 2014, which is a continuation of U.S. patent application Ser. No. 13/868,926, filed on Apr. 23, 2013, now U.S. Pat. No. 8,675,207, issued Mar. 18, 2014, which is a continuation of U.S. patent application Ser. No. 13/620,159, filed on Sep. 14, 2012, now U.S. Pat. No. 8,451,456, issued May 28, 2013, which is a continuation of U.S. patent application Ser. No. 13/333,351, filed on Dec. 21, 2011, now U.S. Pat. No. 8,363,228, issued Jan. 29, 2013, which is a continuation of U.S. patent application Ser. No. 12/770,379, filed on Apr. 29, 2010, now U.S. Pat. No. 8,102,538, issued Jan. 24, 2012, which is a continuation of U.S. patent application Ser. No. 12/379,343, filed on Feb. 19, 2009, now U.S. Pat. No. 7,724,378, issued May 25, 2010, which is a continuation of U.S. patent application Ser. No. 11/889,112, filed on Aug. 9, 2007, now U.S. Pat. No. 7,511,829, issued Mar. 31, 2009, which is a continuation of U.S. patent application Ser. No. 11/154,520, filed on Jun. 17, 2005, now U.S. Pat. No. 7,319,529, issued Jan. 15, 2008, an application claiming the benefit under 35 U.S.C. § 119(e) of U.S. Provisional Application No. 60/580,109, filed on Jun. 17, 2004, and claiming the benefit under 35 U.S.C. § 119(e) of U.S. Provisional Application No. 60/580,108, filed on Jun. 17, 2004, the contents of each of which are hereby incorporated by reference in their entirety.
| Number | Date | Country | |
|---|---|---|---|
| 60580109 | Jun 2004 | US | |
| 60580108 | Jun 2004 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 16427101 | May 2019 | US |
| Child | 17247673 | US | |
| Parent | 16270419 | Feb 2019 | US |
| Child | 16427101 | US | |
| Parent | 15175267 | Jun 2016 | US |
| Child | 16270419 | US | |
| Parent | 14755171 | Jun 2015 | US |
| Child | 15175267 | US | |
| Parent | 14511091 | Oct 2014 | US |
| Child | 14755171 | US | |
| Parent | 14150505 | Jan 2014 | US |
| Child | 14511091 | US | |
| Parent | 13868926 | Apr 2013 | US |
| Child | 14150505 | US | |
| Parent | 13620159 | Sep 2012 | US |
| Child | 13868926 | US | |
| Parent | 13333351 | Dec 2011 | US |
| Child | 13620159 | US | |
| Parent | 12770379 | Apr 2010 | US |
| Child | 13333351 | US | |
| Parent | 12379343 | Feb 2009 | US |
| Child | 12770379 | US | |
| Parent | 11889112 | Aug 2007 | US |
| Child | 12379343 | US | |
| Parent | 11154520 | Jun 2005 | US |
| Child | 11889112 | US |
