The present invention relates generally to fabricating dental aligners. More specifically, the present disclosure relates to marking dental aligners.
A dental impression provides a negative imprint of the teeth and tissues in the mouth. The negative impression may then be utilized to produce a physical or digital reproduction of the teeth. Generally, a dental tray having a viscous, thixotropic impression material therein is fit over the dental arches of the patient. The impression material sets to a solid leaving an imprint of the dental structures in the mouth. When removed from the mouth, the impression provides a detailed and stable negative of the teeth. Optionally, the impression is processed using digital scanning methods to create the digital negative of the teeth.
Following a successful impression and generation of a positive mold or model of the dental impression, a vendor may generate a dental aligner from the positive mold of the dental impression. The vendor may generate dental aligners by thermoforming plastic to the positive mold. Oftentimes, such thermoforming is performed by an individual.
Fabrication of dental aligners may be done in a facility that produces dental aligners for many different patients. Additionally, realigning a patient's teeth using dental aligners may require using many different aligners for the same patient. As such, a facility may produce a large number of dental aligners, and tracking and organizing the aligners may be difficult.
One embodiment relates to a method for marking a dental aligner. The method includes receiving a digital model corresponding to a dental aligner. The digital model includes a dental arch comprising a plurality of teeth. The method further includes determining whether a section of teeth on a right side or a left side of the dental arch includes flatter occlusal surfaces and selecting the section with the flatter occlusal surfaces, identifying surfaces on the teeth of the selected section that are flat relative to other surfaces on the teeth of the selected section, determining a line of best fit between the flat surfaces, and marking the dental aligner with a marking based on the line of best fit. As used herein, the terms “flat,” “flattest,” and the like are intended to mean any of surfaces that are flat, substantially flat, flatter than some of the other surfaces, flatter than most of the other surfaces, meeting or exceeding a threshold with respect to at least one other surfaces, etc.
Another embodiment relates to a system for marking a dental aligner. The system includes a processing circuit. The processing circuit includes at least one processor and a memory storing instructions. When executed by the at least one processor, the instructions cause the processing circuit to receive a digital model corresponding to a dental aligner. The digital model includes a dental arch comprising a plurality of teeth. The instructions further cause the processing circuit to determine whether a section of teeth on a right side or a left side of the dental arch includes flatter occlusal surfaces and select the section with the flatter occlusal surfaces, identify surfaces on the teeth of the selected section that are flat relative to other surfaces on the teeth of the selected section, and determine a line of best fit between the flat surfaces. The system further includes a marking system configured to mark the dental aligner with a marking based on the line of best fit.
Another embodiment relates to a memory storing instructions. When executed by a processor, the instructions cause a system to receive a digital model corresponding to a dental aligner. The digital model includes a dental arch comprising a plurality of teeth. The instructions further cause a system to determine whether a section of teeth on a right side or a left side of the dental arch includes flatter occlusal surfaces and select the section with the flatter occlusal surfaces, identify surfaces on the teeth of the selected section that are flat relative to other surfaces on the teeth of the selected section, determine a line of best fit between the flat surfaces, and provide the line of best fit to a marking system configured to mark the dental aligner with a marking based on the line of best fit.
Before turning to the figures, which illustrate certain exemplary embodiments in detail, it should be understood that the present disclosure is not limited to the details or methodology set forth in the description or illustrated in the figures. It should also be understood that the terminology used herein is for the purpose of description only and should not be regarded as limiting.
Referring generally to the figures, described herein are systems and methods for marking digital aligners. In various embodiments, a system receives one or more digital models representing alignment positions for a patient's teeth. In one example, a patient or a dental professional creates an impression of the patient's teeth. The impression is then scanned to create a digital model of the patient's current teeth positions (e.g., an “initial digital model”). Alternatively, or additionally, a dental professional uses a scanning system to create the initial digital model. Once the initial digital model is created, the digital model is used to create a digital model representing the final aligned positions for the patient's teeth (e.g., a “final digital model”), and the final digital model is used to create one or more digital models representing one or more intermediate alignment positions that the patient's teeth will be guided through using dental aligners to reach the final aligned positions (e.g., “alignment digital model(s)”).
Once the one or more alignment digital models have been created, a fabrication system is used to manufacture one or more physical models, each physical model corresponding to an alignment digital model or to the final digital model. For example, a three-dimensional (“3D”) printing machine may be used to fabricate the one or more physical models. Dental aligners are then fabricated using the one or more physical models. In some embodiments, the dental aligners are produced by thermoforming plastic sheets over the physical model(s). Additionally, in some embodiments, multiple dental aligners are fabricated for each physical model. As an example, three dental aligners may be fabricated for each digital model, with each of the three dental aligners having a different rigidity (e.g., based on a hardness of the material used to fabricate the dental aligner or based on the thickness of the material used to fabricate the dental aligner). By wearing the dental aligners (e.g., in a predetermined sequence), the teeth of the patient are moved from their initial positions in the patient's mouth to the final positions modeled in the final digital model.
Facilities fabricating the dental aligners often fabricate large quantities of dental aligners at a given time. As such, to ensure that the right dental aligners are provided to the right patients, each dental aligner may be provided with a marking identifying the dental aligner. For example, a marking may identify the patient associated with the dental aligner and where the dental aligner fits into the predetermined sequence of tooth positions for the patient (e.g., in a treatment plan for the patient). As another example, each dental aligner may be assigned a marking that an individual may look up in a database to identify the patient and where the dental aligner fits into the predetermined sequence. Alternatively, a dental aligner may be marked to identify the dental aligner to a patient. As an example, a dental aligner may be marked to indicate to the patient which dental aligner in the predetermined sequence should be worn next. The process of determining the location of and creating these markings on dental aligners is described in further detail below.
Referring now to
As shown in
The aligner marking computing system 104 includes an aligner marking location circuit 112. As shown, the aligner marking location circuit 112 is operatively connected to the digital model database 108 and is configured to retrieve digital models 110 from the digital model database 108. As an example, the digital model database 108 may store the digital models 110 in a sequential order (e.g., based on when the models were received, based on a patient's last name, etc.), and the aligner marking location circuit 112 may be configured to retrieve the digital models 110 in the sequential order. As another example, the aligner marking location circuit 112 may be configured to retrieve digital models 110 based on fabrication of the corresponding physical models (e.g., retrieve a digital model based on when the physical model corresponding to the digital model will be fabricated).
Once the aligner marking location circuit 112 has retrieved a given digital model, the aligner marking location circuit 112 is configured to determine a location for marking any aligners fabricated from a physical model corresponding to the digital model. For example, in some embodiments, the aligner marking location circuit 112 is configured to determine the location for marking the aligners by identifying a sequence of flat areas on occlusal surfaces of one side of the rear teeth, as described in further detail below with respect to
The aligner marking computing system 104 also includes an aligner marking layout circuit 114 that is operatively connected to the aligner marking location circuit 112, as shown in
As shown in
The marking system 106 includes an etching system 120. As shown in
It should be understood that while the components of the system 100 are illustrated in the embodiment of
Referring now to
Referring back to
At operation 206, the section of rear teeth having flatter occlusal surfaces is determined. As an example, in some embodiments, each tooth is represented in the digital model as a collection of polygons (e.g., triangle faces). Additionally, each digital model may be defined in x, y, and z-directions, where the z-direction is associated with the occlusal surfaces of the teeth. Accordingly, at operation 206, the aligner marking computing system 104 may determine a face normal vector for polygons viewable from the z direction, the face normal defined as a unit vector extending in the x, y, and z-directions and normal to the polygon face. Next, the aligner marking computing system 104 may determine the z component for each face normal vector, with the z component representing how flat its associated polygon is with respect to the z-direction (e.g., because a z-component closer to 1 means that the surface of the polygon is more perpendicular to the z-axis and is thus flatter). The aligner marking computing system 104 may then sum the z-components for all of the face normal vectors for each rear section of the teeth and divide the total by the number of polygon faces in the section to produce an average face normal z-component for that section. The section of rear teeth having an average face normal z-component closer to 1 is determined to have the flatter occlusal surfaces in the z-direction and, for example, have more markable surfaces than the teeth in the other section. As such, at operation 208, the section having the flatter occlusal surfaces is selected.
At operation 210, flat surfaces on the teeth of the selected section are identified. In some embodiments, identifying the flat surfaces includes determining whether the z-component for the face normal vector of each polygon making up the selected rear teeth is greater than or equal to a threshold value. For example, in some arrangements, the threshold value is 0.85. If the z-component for a given polygon's face normal vector is greater than or equal to the threshold value (e.g., 0.85), the aligner marking computing system 104 selects the polygon. Each group of selected contiguous polygons accordingly forms a flat surface of the selected rear teeth.
As an example of the foregoing,
More specifically, referring to
Referring back to
For example, referring to
Referring back to
Additionally, in some embodiments, operation 214 includes determining the layout of the marking along the line of best fit before the marking is etched. As an example, as described above, the aligner marking computing system 104 may determine how much of the marking (e.g., the text) will fit along a given flat surface included along the best fit line and, based on this determination, create a layout for the marking to be used when the dental aligner is etched. Furthermore, in some embodiments, multiple aligners may be fabricated from a single physical model corresponding to the digital model. As such, the aligner marking computing system 104 may determine or receive a separate marking for each dental aligner and determine a layout for each marking for its associated dental aligner before the dental aligner is etched. In some embodiments, a set of three dental aligners is fabricated from each physical model (e.g., hard, medium, and soft or thin, thicker, and thickest), and each of the aligners in the set is marked in the same location, while other sets of dental aligners for the same patient are marked in different locations.
As utilized herein, the terms “approximately,” “about,” “substantially,” and similar terms are intended to have a broad meaning in harmony with the common and accepted usage by those of ordinary skill in the art to which the subject matter of this disclosure pertains. It should be understood by those of skill in the art who review this disclosure that these terms are intended to allow a description of certain features described and claimed without restricting the scope of these features to the precise numerical ranges provided. Accordingly, these terms should be interpreted as indicating that insubstantial or inconsequential modifications or alterations of the subject matter described and claimed are considered to be within the scope of the disclosure as recited in the appended claims.
It should be noted that the term “exemplary” and variations thereof, as used herein to describe various embodiments, are intended to indicate that such embodiments are possible examples, representations, or illustrations of possible embodiments (and such terms are not intended to connote that such embodiments are necessarily extraordinary or superlative examples).
The term “coupled” and variations thereof, as used herein, means the joining of two members directly or indirectly to one another. Such joining may be stationary (e.g., permanent or fixed) or moveable (e.g., removable or releasable). Such joining may be achieved with the two members coupled directly to each other, with the two members coupled to each other using a separate intervening member and any additional intermediate members coupled with one another, or with the two members coupled to each other using an intervening member that is integrally formed as a single unitary body with one of the two members. If “coupled” or variations thereof are modified by an additional term (e.g., directly coupled), the generic definition of “coupled” provided above is modified by the plain language meaning of the additional term (e.g., “directly coupled” means the joining of two members without any separate intervening member), resulting in a narrower definition than the generic definition of “coupled” provided above. Such coupling may be mechanical, electrical, or fluidic.
The term “or,” as used herein, is used in its inclusive sense (and not in its exclusive sense) so that when used to connect a list of elements, the term “or” means one, some, or all of the elements in the list. Conjunctive language such as the phrase “at least one of X, Y, and Z,” unless specifically stated otherwise, is understood to convey that an element may be either X, Y, Z; X and Y; X and Z; Y and Z; or X, Y, and Z (i.e., any combination of X, Y, and Z). Thus, such conjunctive language is not generally intended to imply that certain embodiments require at least one of X, at least one of Y, and at least one of Z to each be present, unless otherwise indicated.
References herein to the positions of elements (e.g., “top,” “bottom,” “above,” “below”) are merely used to describe the orientation of various elements in the Figures. It should be noted that the orientation of various elements may differ according to other exemplary embodiments, and that such variations are intended to be encompassed by the present disclosure.
The hardware and data processing components used to implement the various processes, operations, illustrative logics, logical blocks, modules and circuits described in connection with the embodiments disclosed herein may be implemented or performed with at least one general purpose single- or multi-chip processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, or, any conventional processor, controller, microcontroller, or state machine. A processor also may be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration. In some embodiments, particular processes and methods may be performed by circuitry that is specific to a given function. The memory (e.g., memory, memory unit, storage device) may include one or more devices (e.g., RAM, ROM, flash memory, hard disk storage) for storing data and/or computer code for completing or facilitating the various processes, layers and modules described in the present disclosure. The memory may be or include volatile memory or non-volatile memory, and may include database components, object code components, script components, or any other type of information structure for supporting the various activities and information structures described in the present disclosure. According to an exemplary embodiment, the memory is communicably connected to the processor via a processing circuit and includes computer code for executing (e.g., by the processing circuit or the processor) the one or more processes described herein.
The present disclosure contemplates methods, systems and program products on any machine-readable media for accomplishing various operations. The embodiments of the present disclosure may be implemented using existing computer processors, or by a special purpose computer processor for an appropriate system, incorporated for this or another purpose, or by a hardwired system. Embodiments within the scope of the present disclosure include program products comprising machine-readable media for carrying or having machine-executable instructions or data structures stored thereon. Such machine-readable media can be any available media that can be accessed by a general purpose or special purpose computer or other machine with a processor. By way of example, such machine-readable media can comprise RAM, ROM, EPROM, EEPROM, or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store desired program code in the form of machine-executable instructions or data structures and which can be accessed by a general purpose or special purpose computer or other machine with a processor. Combinations of the above are also included within the scope of machine-readable media. Machine-executable instructions include, for example, instructions and data which cause a general purpose computer, special purpose computer, or special purpose processing machines to perform a certain function or group of functions.
Although the figures and description may illustrate a specific order of method steps, the order of such steps may differ from what is depicted and described, unless specified differently above. Also, two or more steps may be performed concurrently or with partial concurrence, unless specified differently above. Such variation may depend, for example, on the software and hardware systems chosen and on designer choice. All such variations are within the scope of the disclosure. Likewise, software implementations of the described methods could be accomplished with standard programming techniques with rule-based logic and other logic to accomplish the various connection steps, processing steps, comparison steps, and decision steps. It is important to note that the construction and arrangement of the systems and methods of marking dental aligners as shown in the various exemplary embodiments is illustrative only. Additionally, any element disclosed in one embodiment may be incorporated or utilized with any other embodiment disclosed herein. It should be appreciated that other elements of the various embodiments may be incorporated or utilized with any of the other embodiments disclosed herein.
This application is a continuation of U.S. patent application Ser. No. 16/273,893 filed Feb. 12, 2019, which is incorporated by reference herein in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
3688963 | Snow et al. | Sep 1972 | A |
4687612 | Clarke et al. | Aug 1987 | A |
5806745 | Irwin | Sep 1998 | A |
5975893 | Chishti et al. | Nov 1999 | A |
6350120 | Sachdeva et al. | Feb 2002 | B1 |
6371761 | Cheang et al. | Apr 2002 | B1 |
6398548 | Muhammad et al. | Jun 2002 | B1 |
6463344 | Pavloskaia et al. | Oct 2002 | B1 |
6633789 | Nikolskiy et al. | Oct 2003 | B1 |
6665570 | Pavloskaia et al. | Dec 2003 | B2 |
6688886 | Hughes et al. | Feb 2004 | B2 |
6776614 | Wiechmann et al. | Aug 2004 | B2 |
6918761 | Sachdeva et al. | Jul 2005 | B2 |
6976627 | Culp et al. | Dec 2005 | B1 |
7037111 | Miller | May 2006 | B2 |
7110594 | Jones et al. | Sep 2006 | B2 |
7261533 | Wrosz et al. | Aug 2007 | B2 |
7273367 | Hughes et al. | Sep 2007 | B2 |
7293988 | Wen | Nov 2007 | B2 |
7306152 | Culp et al. | Dec 2007 | B2 |
7309230 | Wen | Dec 2007 | B2 |
7319529 | Babayoff | Jan 2008 | B2 |
7333874 | Taub et al. | Feb 2008 | B2 |
7335024 | Wen | Feb 2008 | B2 |
7357634 | Knopp | Apr 2008 | B2 |
7361018 | Imgrund et al. | Apr 2008 | B2 |
7383094 | Kopelman et al. | Jun 2008 | B2 |
7384266 | Wen | Jun 2008 | B2 |
7433810 | Pavloskaia et al. | Oct 2008 | B2 |
7442040 | Kuo | Oct 2008 | B2 |
7476100 | Kuo | Jan 2009 | B2 |
7511829 | Babayoff | Mar 2009 | B2 |
7556496 | Cinader et al. | Jul 2009 | B2 |
7572121 | Wrosz et al. | Aug 2009 | B2 |
7578673 | Wen et al. | Aug 2009 | B2 |
7604181 | Culp et al. | Oct 2009 | B2 |
7611058 | Culp et al. | Nov 2009 | B2 |
7690917 | Marshall | Apr 2010 | B2 |
7695278 | Sporbert et al. | Apr 2010 | B2 |
7699606 | Sachdeva et al. | Apr 2010 | B2 |
7711447 | Lu et al. | May 2010 | B2 |
7738989 | Taub et al. | Jun 2010 | B2 |
7744369 | Imgrund et al. | Jun 2010 | B2 |
7831322 | Liu et al. | Nov 2010 | B2 |
7837469 | Chishti et al. | Nov 2010 | B2 |
7840373 | Culp et al. | Nov 2010 | B2 |
7865259 | Kuo et al. | Jan 2011 | B2 |
7905408 | Culp et al. | Mar 2011 | B2 |
7950131 | Hilliard | May 2011 | B2 |
7963765 | Bergersen | Jun 2011 | B2 |
7993134 | Wen | Aug 2011 | B2 |
7993136 | Wen | Aug 2011 | B2 |
7996099 | Kopelman et al. | Aug 2011 | B2 |
8029277 | Imgrund et al. | Oct 2011 | B2 |
8030588 | Culp et al. | Oct 2011 | B2 |
8038444 | Kitching et al. | Oct 2011 | B2 |
8047846 | Wen | Nov 2011 | B2 |
8060236 | Hilliard | Nov 2011 | B2 |
8075306 | Kitching et al. | Dec 2011 | B2 |
8083976 | Lengsfeld et al. | Dec 2011 | B2 |
8105080 | Chishti et al. | Jan 2012 | B2 |
8133050 | Bergersen | Mar 2012 | B2 |
8145340 | Taub et al. | Mar 2012 | B2 |
8155780 | Lu et al. | Apr 2012 | B2 |
8177551 | Sachdeva et al. | May 2012 | B2 |
8192197 | Sporbert et al. | Jun 2012 | B2 |
8199988 | Marshall et al. | Jun 2012 | B2 |
8244390 | Kuo et al. | Aug 2012 | B2 |
8296952 | Greenberg | Oct 2012 | B2 |
8301287 | Kopelman et al. | Oct 2012 | B2 |
8352060 | Chun et al. | Jan 2013 | B2 |
8383977 | Culp et al. | Feb 2013 | B2 |
8439672 | Matov et al. | May 2013 | B2 |
8451456 | Babayoff | May 2013 | B2 |
8469706 | Kuo | Jun 2013 | B2 |
8478435 | Kuo et al. | Jul 2013 | B2 |
8502107 | Uckelmann | Aug 2013 | B2 |
8562338 | Kitching et al. | Oct 2013 | B2 |
8562340 | Chishti et al. | Oct 2013 | B2 |
8587582 | Matov et al. | Nov 2013 | B2 |
8591225 | Wu et al. | Nov 2013 | B2 |
8636510 | Kitching et al. | Jan 2014 | B2 |
8684729 | Wen | Apr 2014 | B2 |
8738165 | Cinader et al. | May 2014 | B2 |
8740614 | Wen et al. | Jun 2014 | B2 |
8807999 | Kuo et al. | Aug 2014 | B2 |
8828287 | Van Der Zel | Sep 2014 | B2 |
8885175 | Babayoff | Nov 2014 | B2 |
8888480 | Yoo et al. | Nov 2014 | B2 |
8899978 | Kitching et al. | Dec 2014 | B2 |
8930219 | Trosien et al. | Jan 2015 | B2 |
8932058 | Fisker et al. | Jan 2015 | B2 |
8936463 | Mason et al. | Jan 2015 | B2 |
9011149 | Wen | Apr 2015 | B2 |
9017072 | Kitching et al. | Apr 2015 | B2 |
9069914 | Kopelman et al. | Jun 2015 | B2 |
9101433 | Babayoff | Aug 2015 | B2 |
9107722 | Matov et al. | Aug 2015 | B2 |
9108338 | Sirovskiy et al. | Aug 2015 | B2 |
9152145 | Culp et al. | Oct 2015 | B2 |
9161823 | Morton et al. | Oct 2015 | B2 |
9168113 | Wu et al. | Oct 2015 | B2 |
9183764 | Sugimoto et al. | Nov 2015 | B2 |
9192305 | Levin | Nov 2015 | B2 |
9241774 | Li et al. | Jan 2016 | B2 |
9326830 | Kitching et al. | May 2016 | B2 |
9330205 | Lawitschka et al. | May 2016 | B2 |
9333052 | Miller | May 2016 | B2 |
9364297 | Kitching et al. | Jun 2016 | B2 |
9393083 | Bergersen | Jul 2016 | B2 |
9403238 | Culp | Aug 2016 | B2 |
9404740 | Babayoff | Aug 2016 | B2 |
9414897 | Wu et al. | Aug 2016 | B2 |
9433477 | Borovinskih et al. | Sep 2016 | B2 |
9433479 | Phan et al. | Sep 2016 | B2 |
9498301 | Kim | Nov 2016 | B2 |
9536020 | Wen | Jan 2017 | B2 |
9539071 | Taub et al. | Jan 2017 | B2 |
9566132 | Stone-Collonge et al. | Feb 2017 | B2 |
9572637 | Jinkyun | Feb 2017 | B2 |
9579171 | Lorunser et al. | Feb 2017 | B2 |
9597164 | Li et al. | Mar 2017 | B2 |
9610140 | Anderson et al. | Apr 2017 | B2 |
9622834 | Chapoulaud et al. | Apr 2017 | B2 |
9675432 | Lee et al. | Jun 2017 | B2 |
9717568 | Adell | Aug 2017 | B1 |
9717573 | Vuillemot | Aug 2017 | B2 |
9744002 | Moss et al. | Aug 2017 | B2 |
9763750 | Kim et al. | Sep 2017 | B2 |
9801698 | Levin | Oct 2017 | B2 |
9844420 | Cheang | Dec 2017 | B2 |
9844429 | Kopelman et al. | Dec 2017 | B2 |
9848958 | Matov et al. | Dec 2017 | B2 |
9861452 | Rundlett | Jan 2018 | B2 |
9861457 | Fisker et al. | Jan 2018 | B2 |
9888982 | Lee | Feb 2018 | B2 |
9922170 | Trosien et al. | Mar 2018 | B2 |
9937023 | Andersson et al. | Apr 2018 | B2 |
9939258 | Lampert et al. | Apr 2018 | B2 |
9943382 | Wen | Apr 2018 | B2 |
9956058 | Kopelman | May 2018 | B2 |
9962238 | Boltunov et al. | May 2018 | B2 |
10001771 | Matty | Jun 2018 | B2 |
10011050 | Kitching et al. | Jul 2018 | B2 |
10052174 | Kitching et al. | Aug 2018 | B2 |
10099256 | Culp et al. | Oct 2018 | B2 |
10109114 | Yancey et al. | Oct 2018 | B1 |
10111730 | Webber et al. | Oct 2018 | B2 |
10136965 | Wiechmann et al. | Nov 2018 | B2 |
10179035 | Shivapuja et al. | Jan 2019 | B2 |
10195690 | Culp | Feb 2019 | B2 |
10231800 | Wiechmann | Mar 2019 | B2 |
10238472 | Levin | Mar 2019 | B2 |
10241499 | Griffin | Mar 2019 | B1 |
10255407 | Borovinskih et al. | Apr 2019 | B2 |
10258431 | Hong | Apr 2019 | B2 |
10258439 | Kitching et al. | Apr 2019 | B1 |
10265150 | Hultgren et al. | Apr 2019 | B2 |
10271923 | Kuo et al. | Apr 2019 | B2 |
10278794 | Raslambekov | May 2019 | B1 |
20030152884 | Wiechmann et al. | Aug 2003 | A1 |
20040166456 | Chishti et al. | Aug 2004 | A1 |
20040243361 | Steuben et al. | Dec 2004 | A1 |
20060072810 | Scharlack et al. | Apr 2006 | A1 |
20080187887 | Lu et al. | Aug 2008 | A1 |
20080300824 | Culp | Dec 2008 | A1 |
20090061382 | Wen | Mar 2009 | A1 |
20100006640 | Culp et al. | Jan 2010 | A1 |
20110003025 | Patel | Jan 2011 | A1 |
20130073071 | Culp | Mar 2013 | A1 |
20130161241 | Culp et al. | Jun 2013 | A1 |
20150013688 | Frantz et al. | Jan 2015 | A1 |
20150028325 | Seki | Jan 2015 | A1 |
20150250568 | Fisker et al. | Sep 2015 | A1 |
20150289960 | Shigemoto et al. | Oct 2015 | A1 |
20150313687 | Blees et al. | Nov 2015 | A1 |
20150314520 | Sirovskiy et al. | Nov 2015 | A1 |
20160023249 | Culp et al. | Jan 2016 | A1 |
20160106572 | Frantz et al. | Apr 2016 | A1 |
20160206403 | Ouellette et al. | Jul 2016 | A1 |
20160242870 | Matov et al. | Aug 2016 | A1 |
20160310236 | Kopelman et al. | Oct 2016 | A1 |
20160332255 | Culp | Nov 2016 | A1 |
20160332367 | Sun et al. | Nov 2016 | A1 |
20170007359 | Kopelman et al. | Jan 2017 | A1 |
20170065373 | Martz et al. | Mar 2017 | A1 |
20170100207 | Wen | Apr 2017 | A1 |
20170112594 | Hilliard | Apr 2017 | A1 |
20170144360 | Moore et al. | May 2017 | A1 |
20170231721 | Akeel et al. | Aug 2017 | A1 |
20170281314 | Freimuller | Oct 2017 | A1 |
20170360535 | Rynerson et al. | Dec 2017 | A1 |
20170367792 | Raby et al. | Dec 2017 | A1 |
20180000564 | Cam et al. | Jan 2018 | A1 |
20180021106 | Khan | Jan 2018 | A1 |
20180036623 | Kuo | Feb 2018 | A1 |
20180055600 | Matov et al. | Mar 2018 | A1 |
20180071054 | Ha | Mar 2018 | A1 |
20180071062 | Kirchner et al. | Mar 2018 | A1 |
20180092713 | Boehlau et al. | Apr 2018 | A1 |
20180098828 | Hansen et al. | Apr 2018 | A1 |
20180116762 | Kopelman | May 2018 | A1 |
20180153651 | Tong et al. | Jun 2018 | A1 |
20180185118 | Sutter et al. | Jul 2018 | A1 |
20180235730 | Djamchidi | Aug 2018 | A1 |
20180263730 | Sirovskiy et al. | Sep 2018 | A1 |
20180271620 | Rodriguez et al. | Sep 2018 | A1 |
20180303581 | Martz et al. | Oct 2018 | A1 |
20180303582 | Hung | Oct 2018 | A1 |
20180318044 | Tal | Nov 2018 | A1 |
20180333224 | Van Esbroeck et al. | Nov 2018 | A1 |
20180333226 | Tsai et al. | Nov 2018 | A1 |
20180333231 | Somasundaram et al. | Nov 2018 | A1 |
20190019187 | Miller et al. | Jan 2019 | A1 |
20190029522 | Sato et al. | Jan 2019 | A1 |
20190029775 | Morton et al. | Jan 2019 | A1 |
20190039100 | Culp et al. | Feb 2019 | A1 |
20190053876 | Sterental et al. | Feb 2019 | A1 |
20190053883 | Sun et al. | Feb 2019 | A1 |
20190083208 | Hansen et al. | Mar 2019 | A1 |
20190090984 | Martz et al. | Mar 2019 | A1 |
20190125503 | Krolikowski et al. | May 2019 | A1 |
20190133716 | Kim et al. | May 2019 | A1 |
20190160590 | Culp | May 2019 | A1 |
20190164352 | Yancey et al. | May 2019 | A1 |
20190164353 | Yancey et al. | May 2019 | A1 |
20190262101 | Shanjani | Aug 2019 | A1 |
20200100871 | Wang | Apr 2020 | A1 |
20210196430 | Wilson | Jul 2021 | A1 |
Number | Date | Country |
---|---|---|
3 091 454 | Nov 2016 | EP |
Entry |
---|
Sampson, Paul D. “Dental arch shape: a statistical analysis using conic sections.” American journal of orthodontics 79.5 (1981): 535-548. (Year: 1981). |
English abstract WO 2021/073530 A1 (Year: 2019). |
“Invisalign Manufacturing Process English” video, uploaded to YouTube on Apr. 7, 2014, https://www.youtube.com/watch?v=vsR0_wTR2a8. |
Lauren et al. “A New Computer-Assisted Method for Design and Fabrication of Occlusal Splints”, American Journal of Orthodontics and Dentofacial Orthopedics, vol. 133, No. 4, Supplement 1, 2008, pp. S130-S135. |
“Invisalign Manufacturing Process English” video, uploaded to YouTube on Apr. 7, 2014, https://www.youtube.com/watch?v=vsR0_wTR2a8, 125 pages of screenshots. |
Number | Date | Country | |
---|---|---|---|
20200257766 A1 | Aug 2020 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 16273893 | Feb 2019 | US |
Child | 16686040 | US |