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.