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公开(公告)号:US20240193893A1
公开(公告)日:2024-06-13
申请号:US18527263
申请日:2023-12-02
Applicant: IMAGOWORKS INC.
Inventor: Eunhyeon KIM , Hannah KIM , Jinhyeok CHOI , Dong Uk KAM , Taeseok LEE , Bonjour SHIN
CPC classification number: G06T19/20 , A61C13/0004 , G06T17/20 , G16H10/60 , G06T2210/41 , G06T2219/2004 , G06T2219/2008 , G06T2219/2016 , G06T2219/2021
Abstract: An automated method for generating a prosthesis from a three dimensional (“3D”) scan data, the method includes generating an intermediate surface of the prosthesis extending toward an outside of a prepared tooth from a margin line of the prepared tooth in the 3D scan data, generating an inner surface of the prosthesis by determining a gap from a surface of the prepared tooth, generating an outer surface of the prosthesis and connecting the outer surface of the prosthesis and the intermediate surface of the prosthesis.
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公开(公告)号:US20240341927A1
公开(公告)日:2024-10-17
申请号:US18754386
申请日:2024-06-26
Applicant: IMAGOWORKS INC.
Inventor: Jinhyeok CHOI , Hannah KIM , Tae-geun SON , Youngjun KIM
CPC classification number: A61C9/0053 , G06T7/0012 , G06T11/203 , G06T2207/10081 , G06T2207/20101 , G06T2207/30036
Abstract: An automated method for aligning 3D (three-dimensional) dental data includes extracting landmark points of a CT (computerized tomography) data, extracting landmark points of scan data of a digital impression model, determining an up vector representing a direction of a patient's eyes and nose and identifying left and right of the landmark points of the scan data, extracting a teeth portion of the scan data, searching a source point of the scan data on a spline curve of the CT data to generate a candidate target point group and determining the candidate target point group having a smallest error with the landmark points of the CT data as a final candidate.
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公开(公告)号:US20240070980A1
公开(公告)日:2024-02-29
申请号:US18447444
申请日:2023-08-10
Applicant: IMAGOWORKS INC.
Inventor: Junseong AHN , So Jeong CHEON , Seong Jun TAK , Bonjour SHIN , Dong Uk KAM , Jung-Min HWANG , Jeonghwa KIM , Taeseok LEE , Jinhyeok CHOI
CPC classification number: G06T17/00 , G06T19/20 , G06T2210/41 , G06T2219/2004 , G06T2219/2021
Abstract: An automated method for generating a prosthesis from a 3D scan data, the method includes automatically extracting tooth information of a tooth included in the 3D scan data from the 3D scan data, automatically extracting a margin line of a prepared tooth, generating a plurality of two dimensional (“2D”) images including the prepared tooth and an adjacent tooth adjacent to the prepared tooth, automatically generating a 3D temporary prosthesis data based on the plurality of 2D images and deforming a single tooth model corresponding to the prepared tooth using the margin line and the 3D temporary prosthesis data to generate a 3D prosthesis data.
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公开(公告)号:US20240016446A1
公开(公告)日:2024-01-18
申请号:US18039421
申请日:2020-12-16
Applicant: IMAGOWORKS INC.
Inventor: Youngjun KIM , Bonjour SHIN , Hannah KIM , Jinhyeok CHOI
CPC classification number: A61B5/4547 , G06T17/00 , G06T7/0012 , G06V10/44 , G06V10/764 , G16H30/20 , A61C9/0053 , G06V2201/07 , G06T2207/20084 , G06T2207/30036
Abstract: A method for automatically detecting a landmark in three-dimensional (3D) dental scan data includes projecting 3D scan data to generate a two-dimensional (2D) depth image, determining full arch data obtained by scanning all teeth of a patient and partial arch data obtained by scanning only a part of teeth of the patient by applying the 2D depth image to a convolutional neural network model, detecting a 2D landmark in the 2D depth image using a fully-connected convolutional neural network model and back-projecting the 2D landmark onto the 3D scan data to detect a 3D landmark of the 3D scan data.
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公开(公告)号:US20230306677A1
公开(公告)日:2023-09-28
申请号:US18111709
申请日:2023-02-20
Applicant: IMAGOWORKS INC.
Inventor: Hannah KIM , Bonjour SHIN , Jinhyeok CHOI , Youngjun KIM
CPC classification number: G06T15/08 , G06T7/50 , G06V10/60 , G06V10/761 , G06V40/171 , G06T2207/10028 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/20084 , G06T2207/30201
Abstract: An automated registration method of 3D facial scan data and 3D volumetric medical image data using deep learning, includes extracting scan landmarks from the 3D facial scan data using a convolutional neural network, extracting volume landmarks from the 3D volumetric medical image data using the convolutional neural network and operating an initial registration of the 3D facial scan data and the 3D volumetric medical image data using the scan landmarks and the volume landmarks.
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公开(公告)号:US20240207018A1
公开(公告)日:2024-06-27
申请号:US18389728
申请日:2023-12-19
Applicant: IMAGOWORKS INC.
Inventor: Dong Uk KAM , Taeseok LEE , Jinhyeok CHOI , Tae-guen SON
CPC classification number: A61C7/002 , A61C9/0053 , G06T7/00 , G06T2207/30036
Abstract: A method for deforming a shape of a tooth model includes generating a plurality of deformation shape models by deforming a tooth template model based on tooth scan data and generating a blended shape model by performing mesh blending on the deformation shape models.
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公开(公告)号:US20220160477A1
公开(公告)日:2022-05-26
申请号:US17330361
申请日:2021-05-25
Applicant: IMAGOWORKS INC.
Inventor: Youngjun KIM , Tae-geun SON , Jinhyeok CHOI , Taeseok LEE
Abstract: A method of generating a 3D model for digital dentistry using a virtual bridge based multi input Boolean operation, includes generating a first group model by generating a first virtual bridge connecting models spaced apart from each other among first input models of a first input group when the models are spaced apart from each other among the first input models, generating a second group model by generating a second virtual bridge connecting models spaced apart from each other among second input models of a second input group when the models are spaced apart from each other among the second input models, generating a first result model by a Boolean operation of the first group model and the second group model and removing a remaining first virtual bridge or a remaining second virtual bridge when the first virtual bridge or the second virtual bridge remains in the first result model.
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公开(公告)号:US20220054237A1
公开(公告)日:2022-02-24
申请号:US17395954
申请日:2021-08-06
Applicant: IMAGOWORKS INC.
Inventor: Jinhyeok CHOI , Hannah KIM , Tae-geun SON , Youngjun KIM
Abstract: An automated method for aligning 3D (three-dimensional) dental data includes extracting landmark points of a CT (computerized tomography) data, extracting landmark points of scan data of a digital impression model, determining an up vector representing a direction of a patient's eyes and nose and identifying left and right of the landmark points of the scan data, extracting a teeth portion of the scan data, searching a source point of the scan data on a spline curve of the CT data to generate a candidate target point group and determining the candidate target point group having a smallest error with the landmark points of the CT data as a final candidate.
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公开(公告)号:US20240156578A1
公开(公告)日:2024-05-16
申请号:US18384720
申请日:2023-10-27
Applicant: IMAGOWORKS INC.
Inventor: Junseong AHN , Jinhyeok CHOI , Dong Uk KAM , Tae-geun SON , Youngjun KIM
CPC classification number: A61C13/0004 , A61C9/0053 , G06T7/0012 , G06T7/70 , G06T17/205 , G06T2207/20084 , G06T2207/30036
Abstract: An automated method for generating a prosthesis from a 3D scan data, the method includes extracting prep information of a prepared tooth from the 3D scan data, generating a two dimensional (“2D”) projection images by projecting the 3D scan data based on the prep information and generating a 3D prosthesis based on the 2D projection images using a generative adversarial network including a 2D encoder and a 3D decoder.
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公开(公告)号:US20230281840A1
公开(公告)日:2023-09-07
申请号:US18114380
申请日:2023-02-27
Applicant: IMAGOWORKS INC.
Inventor: Bonjour SHIN , Hannah KIM , Donguk KAM , Jinhyeok CHOI , Tae-geun SON , Youngjun KIM
CPC classification number: G06T7/344 , G16H30/20 , G06T7/10 , G06T19/20 , G06T2207/30036 , G06T2219/2016 , G06T2207/20084 , G06T2207/10028 , G06T2210/41
Abstract: An automated method for aligning a 3D dental library model to 3D oral scan data includes determining a valid tooth of the 3D oral scan data, extracting scan landmarks of the 3D oral scan data, loading a dental library model corresponding to the valid tooth of the 3D oral scan data, extracting library landmarks of the 3D dental library model, initial-aligning the 3D dental library model to the 3D oral scan data using the scan landmarks and the library landmarks and matching an individual tooth of the 3D dental library model and an individual tooth of the 3D oral scan data.
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