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.

公开(公告)号：US12023221B2

公开(公告)日：2024-07-02

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

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.