This application claims the benefit under 35 U.S.C. ยง119(a) of Korean Patent Application No. 10-2012-0134861 filed on Nov. 26, 2012 in the Korean Intellectual Property Office, the entire disclosure of which is incorporated herein by reference for all purposess.
1. Field
The following description relates to apparatuses and methods for generating tomography images by enhancing an observable transmission depth.
2. Description of the Related Art
Tomography is a technology for capturing tomography images of objects by using penetrating waves, and is utilized in various fields and requests for more precise tomography images have increased. In medical diagnosis and treatment applications, generating more precise tomography images has emerged as a significant issue.
This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
In one general aspect, an apparatus for generating tomography images, the apparatus including: a detection unit configured to modulate each of incident beams into at least two basic modulated incident lights on the basis of at least two basic modulation parameters and into a target modulated incident light on the basis of a target modulation parameter, and to detect at least two basic interference signals and a target interference signal of an object; and an imaging unit configured to analyze the at least two basic interference signals to output a target modulation parameter, to process the target interference signal as a target image of the object, and to output the target image.
The detection unit may include a modulator configured to modulate each of the incident beams into the at least two basic modulated incident lights and the target modulated incident light; and an interferometer configured to extract the at least two basic interference signals and the target interference signal from response signals of the object.
The modulator may include a spatial light modulator that modulates the wave front of the incident beam into the at least two basic modulated incident lights and the target modulated incident light.
The modulator include a digital micro-mirror device (DMD) that includes an array of micro-mirrors configured to modulate the incident beam by setting on/off position of each of the micro-mirrors.
The modulator may include a digital micro-mirror device (DMD) that includes an array of micro-mirrors where different numbers of micro-mirrors form a unit of micro-mirror, and the unit is configured to modulate the incident beam by setting on/off position of each unit.
The modulator may include a digital micro-mirror device (DMD) that includes an array of micro-mirrors configured to modulate the incident beam by setting the on/off position of the micro-mirrors based on resolution information.
The modulator may include a digital micro-mirror device (DMD) that includes an array of micro-mirrors where different numbers of micro-mirrors form a unit of micro-mirror; and each unit is configured to modulate the incident beam by setting the on/off position of the unit of micro-mirrors based on resolution information.
The modulator may include a frequency light modulator that modulates the frequency of the incident beam.
The modulator may include a spatial light modulator and a frequency light modulator that modulate the wave front and the frequency of the incident beam to modulate the incident beam
The target modulation parameter may be a setting parameter of the modulator, and the target modulated incident light may be reflected or scattered from the object as a plane wave.
The imaging unit may include: an image processor configured to process each of the at least two basic interference signals to generate tomography image signals and to process the target interference signal as an image signal corresponding to a section of the object; and a target setter configured to analyze each of the tomography image signals to set the target modulation parameter.
The image processor may outputs the image signal of the section of the object corresponding to the target interference signal as the target image.
The detection unit may be configured to modulate the incident beam into at least two target modulated incident lights on the basis of at least two target modulation parameters, and the imaging unit is configured to process and combine the at least two target interference signals to generate the target image.
The tomography image generating apparatus may be included in an optical coherent tomography.
In another general aspect, a method of generating tomography images including setting a target modulation parameter; modulating an incident beam according to the target modulation parameter to scan an object at an optimized transmission depth; detecting the result of scanning the object as an interference signal; and processing the interference signal to generate a tomography image of the object, wherein the setting of the target modulation parameter includes performing at least two basic modulations on the incident beam, scanning the object, and analyzing image signals for at least two interference signals corresponding to each of the basic modulation.
The setting of the target modulation parameter may include analyzing the image signals for at least two interference signals and determining the tomography image signals corresponding to each interference signals; and combining the tomography image signals to set the target modulation parameter.
The determining of the tomography image signals for obtaining the tomography image of the object may be performed for each pixel of the object.
The modulating of the incident beam may include modulating the incident beam by setting on/off position of each micro-mirror of a digital micro-mirror device (DMD) that the incident beam reaches, depending on the target modulation parameter.
The target modulation parameter may be set on a per-unit basis, the unit including different numbers of micro-mirrors.
The modulating of the incident beam according to the target modulation parameter may include modulating the incident beam by modulating the frequency of the incident beam or the wave front of the incident beam according to the target modulation parameter.
In another general aspect, an apparatus for generating tomography images including a modulator configured to modulate each of incident beams into at least two first modulated incident lights on the basis of at least a first modulation parameter and into a second modulated incident light on the basis of a second modulation parameter; an interferometer configured to extract the at least two first interference signals and a second interference signal from response signals of the object; an image processor configured to process each of the at least two first interference signals to generate tomography image signals and to process the second interference signal as an image signal corresponding to a section of the object; and a target setter configured to analyze each of the tomography image signals to set the target modulation parameter for the modulator.
The interferometer may be further configured to split the incident beam into measuring signal and a reference signal.
The image processor may include a demodulator configured to demodulate the first interference signals to generate at least two demodulation signals; and an image generator configured to process the at least two demodulation signals to generate the at least two tomography image signals.
The image generator may process the at least two demodulation signals by converting the demodulation signals from a wavelength domain to a depth domain.
The image generator may be further configured to process the target interference signals to generate a target image.
Other features and aspects will be apparent from the following detailed description, the drawings, and the claims.
Throughout the drawings and the detailed description, unless otherwise described, the same drawing reference numerals will be understood to refer to the same elements, features, and structures. The relative size and depiction of these elements may be exaggerated for clarity, illustration, and convenience.
The following description is provided to assist the reader in gaining a comprehensive understanding of the methods, apparatuses, and/or systems described herein. Accordingly, various changes, modifications, and equivalents of the methods, apparatuses, and/or systems described herein will be apparent to one of ordinary skill in the art. Also, descriptions of well-known functions and constructions may be omitted for increased clarity and conciseness.
The IBM may be emitted from a light generator (not illustrated). The light generator may be positioned inside or outside the tomography image generating apparatus 100. The IBM may be any optical signal, such as, for example, super luminescent diode (SLD) signal or an edge-emitting light emitting diode (ELED) signal.
The DTEC may include a modulator (MDT) that modulates each of the IBMs into at least two BMODs and TMODs, and an interferometer (IFM) that extracts at least two CSbs and CSts from response signals (ASb, ASt) corresponding to at least two BMODs and TMODs, respectively. The DTEC may first extract the CSb and then extract the CSt based on a TMP that is set by an IMU to be described below. The IBM may be transmitted to the IFM in a free space or through a transmission medium such as, for example optical fiber.
As a non-exhaustive example only, the operation of generating the CSb may be the same as the operation of generating the CSt except for a parameter to set the MDT. To represent that the CSb and the CSt are generated at different times, the operation of generating the CSb is distinguished in
The IFM may split the IBMs into the MSs and the RSs at a predetermined splitting ratio. The predetermined splitting ratio may be defined as a ratio of the output intensity of the MS to that of the RS. For example, the IFM may split the IBMs into the MSs and the RSs at a splitting ratio of 5:5. In addition, the IFM may split the IBMs into the MSs and the RSs at a splitting ratio of 9:1 or other splitting ratios. If the IBMs are split into the MSs and the RSs by using a beam splitter 121 of
The IFM transmits the MSs to the MDT. The MS of
Referring back to
On the other hand, the MDT according to a non-exhaustive example only may modulate the MSb and MSt into the BMOD and the TMOD of a spherical wave so that the response signals (ASb and ASt) that are formed by reflection or scattering due to the OBJ may be plane waves as illustrated in
In addition, if the energy spreading from the ASb and ASt decreases, a transmission depth of the BMOD and the TMOD toward the OBJ may increase. Thus, if the apparatus for generating tomography images 100 are used, a deeper region of the OBJ (a living tissue) may be observed, and as the observable depth of the living tissue increases, better diagnosis of early cancer or other diseases can be achieved, which increases the survival rates of patients.
According to yet another example, the MDT may modulate the MSb or the MSt by using both a spatial light modulator (SLM) and a frequency light modulator (FLM) as illustrated in
As described previously, the DTEC may first detect the CSb and then detect the CSt based on the TMP that is set by the IMU. The process of generating the CSb will be described below. The MDT may output at least two BMODs through a sequential or parallel modulation operation. The modulator will be described in more detail below.
At least two BMODs may be generated by setting parameters for the MDT to be different from one another. For example, as will be described below, the position (on/off) of each micro-mirror of an array of DMDs may be set to be different from one another to generate different BMODs.
Referring back to
The IFM generates the CSb by the interference of the ASb and the RS. As shown in
As shown in
The IMU analyzes at least two CSbs and outputs TMPs. The IMU may include an image processor (IPRO) and a target modulation parameter setter (TSET). The IPRO may change at least two CSbs into at least two tomography image signals (ISG) of the OBJ.
The IPRO may generate and output at least two ISGs sequentially or simultaneously. If the IPRO simultaneously outputs the at least two ISGs sequentially generated or sequentially outputs the at least two ISGs simultaneously generated, the IPRO may further include a buffer, although this is not illustrated in
Referring back to
For example, if tomography images of which a first and a second pixel of a first row (RD1) of the OBJ of
As described previously, the TMOD and the CSt may be generated in the same process as the BMOD and the CSb, respectively. However, unlike the BMOD, the MDT may generate the TMOD based on the TMP set through the process above. Methods of generating the TMOD, the CSt, and a target image (TIMG) of a section of the OBJ are described below in detail.
Similar to a method of generating the BMOD, the MDT modulates the MSt to generate the TMOD, and the TMOD is scanned on the OBJ through the PRV. The TMOD scanned on the OBJ is spread or scattered and transmitted to the IFM as the ASt. The IFM generates the CSt in the same way of generating the CSb described previously and transmits the CSt to the IMU.
The detailed operation of the modulator will be described using
For example, if the MDT is set to a first setting value (SET1) in
The MDT generates different BMODs depending on each setting value as described previously. For example, if the MDT is set as the SET1 in
The IPRO of the IMU may image-process the CSt generated through the operations above to generate a TIMG of a section of the OBJ. The method of generating the TIMG by the IPRO may be the same as that of generating the ISG described previously.
According to the apparatus and method for generating tomography images described above, it is possible to increase the measurable depth of the OBJ by obtaining optimal modulation conditions. Examples in which the apparatus and method for generating tomography images may increase the measurable depth of the OBJ by obtaining optimal modulation conditions operate the MDT in a different way from
The TSET analyzes a condition where each setting value may be accounted for and an optimal tomography image (TIMG) of the OBJ may be generated, namely, the transmission depth of the light radiated to the OBJ may be increased, and sets the TMP as described previously.
Referring to
At least two TMODs and at least CSts may be generated by at least two TMPs, and at least two TIMG# may thus be generated. An IPRO of the tomography image generating apparatus 100 of
Only components related to the present example are illustrated in the tomography image generating apparatus 100 of
The apparatuses described herein may be implemented using hardware components. The hardware components may include, for example, controllers, sensors, processors, generators, drivers, and other equivalent electronic components. The hardware components may be implemented using one or more general-purpose or special purpose computers, such as, for example, a processor, a controller and an arithmetic logic unit, a digital signal processor, a microcomputer, a field programmable array, a programmable logic unit, a microprocessor or any other device capable of responding to and executing instructions in a defined manner. The hardware components may run an operating system (OS) and one or more software applications that run on the OS. The hardware components also may access, store, manipulate, process, and create data in response to execution of the software. For purpose of simplicity, the description of a processing device is used as singular; however, one skilled in the art will appreciated that a processing device may include multiple processing elements and multiple types of processing elements. For example, a hardware component may include multiple processors or a processor and a controller. In addition, different processing configurations are possible, such a parallel processors.
The methods described above can be written as a computer program, a piece of code, an instruction, or some combination thereof, for independently or collectively instructing or configuring the processing device to operate as desired. Software and data may be embodied permanently or temporarily in any type of machine, component, physical or virtual equipment, computer storage medium or device that is capable of providing instructions or data to or being interpreted by the processing device. The software also may be distributed over network coupled computer systems so that the software is stored and executed in a distributed fashion. In particular, the software and data may be stored by one or more non-transitory computer readable recording mediums. The non-transitory computer readable recording medium may include any data storage device that can store data that can be thereafter read by a computer system or processing device. Examples of the non-transitory computer readable recording medium include read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tapes, USBs, floppy disks, hard disks, optical recording media (e.g., CD-ROMs, or DVDs), and PC interfaces (e.g., PCI, PCI-express, WiFi, etc.). In addition, functional programs, codes, and code segments for accomplishing the example disclosed herein can be construed by programmers skilled in the art based on the flow diagrams and block diagrams of the figures and their corresponding descriptions as provided herein.
A number of examples have been described above. Nevertheless, it will be understood that various modifications may be made. For example, the tomography image generating method described above may be embodied as computer codes store on a non-transitory computer readable storage medium. As another example, suitable results may be achieved if the described techniques are performed in a different order and/or if components in a described system, architecture, device, or circuit are combined in a different manner and/or replaced or supplemented by other components or their equivalents. Accordingly, other implementations are within the scope of the following claims.
Number | Date | Country | Kind |
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10-2012-0134861 | Nov 2012 | KR | national |