Patents by Inventor Avraham ZULTI
Avraham ZULTI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Publication number: 20240029265Abstract: Methods and apparatuses (including systems and devices), including computer-implemented methods for segmenting, correcting and/or modifying a three-dimensional (3D) model of a subject's oral cavity to determine individual components such as teeth, gingiva, tongue, palate, etc., that may be selective and/or collectively digitally manipulated. In some implementations, artificial intelligence uses libraries of labeled 2D images and 3D dental models to learn how to segment a 3D dental model of a subject's oral cavity using 2D images, height map and/or other data and projection values that relate the 2D images to the 3D model. As noted herein, the dental classes can include a variety of intra-oral and extra-oral objects and can be represented as binary values, discrete values, a continuum of height map data, etc. In some implementations, several dental classes are predicted concurrently.Type: ApplicationFiled: April 21, 2023Publication date: January 25, 2024Inventors: Chad C. BROWN, Yun GAO, Pavel AGNIASHVILI, Avraham ZULTI, Jonathan COSLOVSKY, Christopher E. CRAMER, Roman GUDCHENKO, Ofer SAPHIER, Adi LEVIN, Maayan MOSHE, Doron MALKA
-
Publication number: 20230346514Abstract: An apparatus (system, device, method, and the like) is disclosed for refining a three-dimensional (3D) model, particularly 3D models of a subject's dentition. An initial 3D model is received or generated along with a plurality of two-dimensional (2D) images corresponding to the 3D model. The 3D model is refined using edge boundaries of a space around or between two or more objects of the 3D model identified from the 2D images.Type: ApplicationFiled: May 2, 2023Publication date: November 2, 2023Inventors: Jonathan COSLOVSKY, Avraham ZULTI, Ofer SAPHIER
-
Publication number: 20230301611Abstract: Provided herein are devices and methods generating a panoramic rendering of a subject’s teeth. Methods and processes are provided to image the subject’s teeth with a dental scan. Methods and processes are also provided to automatically 3D render the subject’s teeth with the scan images. Methods and apparatuses are also provided to generate simulated panoramic views of the subject’s dentition from various perspectives.Type: ApplicationFiled: June 1, 2023Publication date: September 28, 2023Inventors: Maayan MOSHE, Shai AYAL, Jonathan COSLOVSKY, Adi LEVIN, Avraham ZULTI, Shai FARKASH
-
Patent number: 11707238Abstract: Provided herein are devices and methods generating a panoramic rendering of a subject's teeth. Methods and processes are provided to image the subject's teeth with a dental scan. Methods and processes are also provided to automatically 3D render the subject's teeth with the scan images. Methods and apparatuses are also provided to generate simulated panoramic views of the subject's dentition from various perspectives.Type: GrantFiled: September 10, 2020Date of Patent: July 25, 2023Assignee: Align Technology, Inc.Inventors: Maayan Moshe, Shai Ayal, Jonathan Coslovsky, Adi Levin, Avraham Zulti, Shai Farkash
-
Patent number: 11651494Abstract: Methods and apparatuses (including systems and devices), including computer-implemented methods for segmenting, correcting and/or modifying a three-dimensional (3D) model of a subject's oral cavity to determine individual components such as teeth, gingiva, tongue, palate, etc., that may be selective and/or collectively digitally manipulated. In some implementations, artificial intelligence uses libraries of labeled 2D images and 3D dental models to learn how to segment a 3D dental model of a subject's oral cavity using 2D images, height map and/or other data and projection values that relate the 2D images to the 3D model. As noted herein, the dental classes can include a variety of intra-oral and extra-oral objects and can be represented as binary values, discrete values, a continuum of height map data, etc. In some implementations, several dental classes are predicted concurrently.Type: GrantFiled: September 4, 2020Date of Patent: May 16, 2023Assignee: Align Technology, Inc.Inventors: Chad C. Brown, Yun Gao, Pavel Agniashvili, Avraham Zulti, Jonathan Coslovsky, Christopher E. Cramer, Roman Gudchenko, Ofer Saphier, Adi Levin, Maayan Moshe, Doron Malka
-
Patent number: 11232573Abstract: Methods and apparatuses (including systems and devices) for modifying a three-dimensional (3D) model of a subject's oral cavity to determine individual components such as teeth, gingiva, tongue, palate, etc. In some implementations one or more automated machine learning agents may modify one or more subsets of 3D models of the subject's oral cavity using height map data to identify, segment and/or modify to mesh regions of a 3D model constructed from a plurality of 2D images of the subject's dental cavity.Type: GrantFiled: September 4, 2020Date of Patent: January 25, 2022Assignee: Align Technology, Inc.Inventors: Chad C. Brown, Yun Gao, Pavel Agniashvili, Avraham Zulti, Jonathan Coslovsky, Christopher E. Cramer, Roman Gudchenko, Ofer Saphier, Adi Levin, Maayan Moshe, Doron Malka
-
Publication number: 20210353153Abstract: A processing device receives a plurality of intraoral scans of a dental arch. The processing device determines, from the plurality of intraoral scans, a first set of intraoral scans that depict a restorative object and a second set of intraoral scans that fail to depict any restorative object. The processing device generates a multi-resolution three-dimensional model of the dental arch, wherein a first portion of the multi-resolution three-dimensional model is generated from the first set of intraoral scans, has a first resolution and represents the restorative object, and wherein a second portion of the multi-resolution three-dimensional model is generated from the second set of intraoral scans, has a second resolution and represents a remainder of the dental arch, wherein the first resolution is greater than the second resolution.Type: ApplicationFiled: July 30, 2021Publication date: November 18, 2021Inventors: Ofer Saphier, Pavel Agniashvili, Moti Ben-Dov, Ran Katz, Avi Kopelman, Maxim Volgin, Doron Malka, Avraham Zulti, Pavel Veryovkin, Maayan Moshe, Ido Tishel, Adi Levin, Shai Farkash, Inna Karapetyan, Dina Bova, Edi Fridman, Jonathan Coslovsky
-
Publication number: 20210353154Abstract: A method of generating a 3D model includes: determining a 3D surface comprising a preparation tooth using a first plurality of intraoral scans generated by an intraoral scanner at a first time; receiving one or more additional intraoral scans of the preparation tooth that were generated by the intraoral scanner at a second time; determining a change to one or more portions of the preparation tooth between the three-dimensional surface and the one or more additional intraoral scans; determining, based at least in part on the change to the preparation tooth, whether to use a) the 3D surface, b) data from the one or more additional intraoral scans or c) a combination of the 3D surface and the data from the one or more additional intraoral scans to depict one or more portions of the preparation tooth; and generating the 3D model comprising the preparation tooth.Type: ApplicationFiled: July 30, 2021Publication date: November 18, 2021Inventors: Ofer Saphier, Pavel Agniashvili, Moti Ben-Dov, Ran Katz, Avi Kopelman, Maxim Volgin, Doron Malka, Avraham Zulti, Pavel Veryovkin, Maayan Moshe, Ido Tishel, Adi Levin, Shai Farkash, Inna Karapetyan, Dina Bova, Edi Fridman, Jonathan Coslovsky
-
Publication number: 20210353152Abstract: A processing device may receive a plurality of intraoral scans of the patient that were generated by an intraoral scanner, determine a three-dimensional surface of at least a portion of one or more dental arch of the patient using the plurality of intraoral scans, automatically determine whether a restorative dental object is represented in at least one of the three-dimensional surface or one or more intraoral scans of the plurality of intraoral scans, and automatically generate a prescription for treating the one or more teeth based at least in part on at least one of a) a presence or absence of a restorative dental object in at least one of the three-dimensional surface or the one or more intraoral scans or b) a location of the restorative dental object in the one or more dental arch of the patient.Type: ApplicationFiled: July 30, 2021Publication date: November 18, 2021Inventors: Ofer Saphier, Pavel Agniashvili, Moti Ben-Dov, Ran Katz, Avi Kopelman, Maxim Volgin, Doron Malka, Avraham Zulti, Pavel Veryovkin, Maayan Moshe, Ido Tishel, Adi Levin, Shai Farkash, Inna Karapetyan, Dina Bova, Edi Fridman, Jonathan Coslovsky
-
Publication number: 20210321872Abstract: A method of intraoral scanning includes receiving a first one or more intraoral scans of a patient's oral cavity; automatically determining, based on processing of the first one or more intraoral scans, a first scanning role associated with the first one or more intraoral scans, wherein the first scanning role is a first one of an upper dental arch role, a lower dental arch role or a bite role; and determining a first three-dimensional surface associated with the first scanning role.Type: ApplicationFiled: April 14, 2021Publication date: October 21, 2021Inventors: Ofer Saphier, Pavel Agniashvili, Moti Ben-Dov, Ran Katz, Avi Kopelman, Maxim Volgin, Doron Malka, Avraham Zulti, Pavel Veryovkin, Maayan Moshe, Ido Tishel, Adi Levin, Shai Farkash, Inna Karapetyan, Dina Bova, Edi Fridman, Jonathan Coslovsky
-
Publication number: 20210073998Abstract: Methods and apparatuses (including systems and devices), including computer-implemented methods for segmenting, correcting and/or modifying a three-dimensional (3D) model of a subject's oral cavity to determine individual components such as teeth, gingiva, tongue, palate, etc., that may be selective and/or collectively digitally manipulated. In some implementations, artificial intelligence uses libraries of labeled 2D images and 3D dental models to learn how to segment a 3D dental model of a subject's oral cavity using 2D images, height map and/or other data and projection values that relate the 2D images to the 3D model. As noted herein, the dental classes can include a variety of intra-oral and extra-oral objects and can be represented as binary values, discrete values, a continuum of height map data, etc. In some implementations, several dental classes are predicted concurrently.Type: ApplicationFiled: September 4, 2020Publication date: March 11, 2021Inventors: Chad C. BROWN, Yun GAO, Pavel AGNIASHVILI, Avraham ZULTI, Jonathan COSLOVSKY, Christopher E. CRAMER, Roman GUDCHENKO, Ofer SAPHIER, Adi LEVIN, Maayan MOSHE, Doron MALKA
-
Publication number: 20210068773Abstract: Provided herein are devices and methods generating a panoramic rendering of a subject's teeth. Methods and processes are provided to image the subject's teeth with a dental scan. Methods and processes are also provided to automatically 3D render the subject's teeth with the scan images. Methods and apparatuses are also provided to generate simulated panoramic views of the subject's dentition from various perspectives.Type: ApplicationFiled: September 10, 2020Publication date: March 11, 2021Inventors: Maayan MOSHE, Shai AYAL, Jonathan COSLOVSKY, Adi LEVIN, Avraham ZULTI, Shai FARKASH
-
Publication number: 20210074061Abstract: Methods and apparatuses (including systems and devices) for modifying a three-dimensional (3D) model of a subject's oral cavity to determine individual components such as teeth, gingiva, tongue, palate, etc. In some implementations one or more automated machine learning agents may modify one or more subsets of 3D models of the subject's oral cavity using height map data to identify, segment and/or modify to mesh regions of a 3D model constructed from a plurality of 2D images of the subject's dental cavity.Type: ApplicationFiled: September 4, 2020Publication date: March 11, 2021Inventors: Chad C. BROWN, Yun GAO, Pavel AGNIASHVILI, Avraham ZULTI, Jonathan COSLOVSKY, Christopher E. CRAMER, Roman GUDCHENKO, Ofer SAPHIER, Adi LEVIN, Maayan MOSHE, Doron MALKA