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：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：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：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

IPC: A61B5/00 ,  G06T17/00 ,  G06T7/00 ,  G06V10/44 ,  G06V10/764 ,  G16H30/20 ,  A61C9/00

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.

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

IPC: G06T15/08 ,  G06T7/50 ,  G06V10/60 ,  G06V10/74 ,  G06V40/16

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.

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

IPC: G06T7/33 ,  G16H30/20 ,  G06T7/10 ,  G06T19/20

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.

公开(公告)号：US20230024671A1

公开(公告)日：2023-01-26

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

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.