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

IPC: A61C9/00 ,  G06T7/00 ,  G06T11/20

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.

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

IPC: G06T17/00 ,  G06T19/20

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.

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

IPC: A61C7/00 ,  A61C9/00 ,  G06T7/00

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.

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

IPC: A61C13/00 ,  A61C7/00 ,  G06F30/20

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.

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

IPC: A61C9/00 ,  G06T7/00 ,  G06T11/20

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.

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

IPC: G06T19/20 ,  A61C13/00 ,  G06T17/20 ,  G16H10/60

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.

公开(公告)号：US20230206455A1

公开(公告)日：2023-06-29

申请号：US18087846

申请日：2022-12-23

Applicant: IMAGOWORKS INC.

Inventor： Seongjun TAK ,  Eungjune SHIM ,  Youngjun KIM

IPC: G06T7/12 ,  G06T7/73

CPC classification number: G06T7/12 ,  G06T7/73 ,  G06T2207/20084 ,  G06T2207/30036

Abstract: An automated method includes detecting a tooth of the scan data using a first artificial intelligence neural network, extracting a tooth scan data from the scan data based on a result of a tooth detection, generating a tooth mapped data corresponding to a predetermined space based on the tooth scan data, generating the tooth boundary curve by inputting the tooth mapped data to a second artificial intelligence neural network and mapping the tooth boundary curve to the scan data.

公开(公告)号：US20230206450A1

公开(公告)日：2023-06-29

申请号：US17983525

申请日：2022-11-09

Applicant: IMAGOWORKS INC.

Inventor： Sojeong CHEON ,  Eungjune SHIM ,  Youngjun KIM

IPC: G06T7/11 ,  G06T15/00 ,  G06T7/73

CPC classification number: G06T7/11 ,  G06T15/00 ,  G06T7/73 ,  G06T2207/20084 ,  G06T2200/04 ,  G06T2207/30036

Abstract: An automated method for tooth segmentation of a three dimensional scan data includes converting the three dimensional scan data into a two dimensional image, determining a three dimensional landmark using a first artificial intelligence neural network receiving the two dimensional image, generating cut data by cutting the scan data using the three dimensional landmark, determining an anchor point using the three dimensional landmark and the cut data, generating a mapped data by mapping the cut data into a predetermined space using the anchor point, determining a segmentation mask using a second artificial intelligence neural network receiving the mapped data and mapping the segmentation mask to the scan data or to the cut data.

公开(公告)号：US12257122B2

公开(公告)日：2025-03-25

申请号：US17330361

申请日：2021-05-25

Applicant: IMAGOWORKS INC.

Inventor： Youngjun Kim ,  Tae-geun Son ,  Jinhyeok Choi ,  Taeseok Lee

IPC: A61C7/00 ,  A61C13/00 ,  B29C64/386 ,  G06F30/20 ,  G09B23/30

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.

公开(公告)号：US11995820B2

公开(公告)日：2024-05-28

申请号：US17295916

申请日：2020-05-26

Applicant: IMAGOWORKS INC.

Inventor： Youngjun Kim ,  Hannah Kim

IPC: G06T7/00 ,  G06T15/08 ,  G06T15/20 ,  G06V10/25 ,  G06V10/82

CPC classification number: G06T7/0012 ,  G06T15/08 ,  G06T15/20 ,  G06V10/25 ,  G06V10/82 ,  G06T2207/30008 ,  G06T2207/30036 ,  G06V2201/07

Abstract: A method for automated detection of landmarks from 3D medical image data using deep learning according to the present inventive concept, the method includes receiving a 3D volume medical image, generating a 2D intensity value projection image based on the 3D volume medical image, automatically detecting an initial anatomical landmark using a first convolutional neural network based on the 2D intensity value projection image, generating a 3D volume area of interest based on the initial anatomical landmark and automatically detecting a detailed anatomical landmark using a second convolutional neural network different from the first convolutional neural network based on the 3D volume area of interest.