公开(公告)号：US20240037741A1

公开(公告)日：2024-02-01

申请号：US18360366

申请日：2023-07-27

Applicant: Taiwan Association for Integration of Cardiology and Surgery

Inventor： Ting-Ying Chien ,  Hsiao-Huang Chang

IPC: G06T7/00 ,  G06V10/764 ,  G06V10/10 ,  G06T7/70 ,  G06T7/11

CPC classification number: G06T7/0012 ,  G06V10/764 ,  G06V10/16 ,  G06T7/70 ,  G06T7/11 ,  G06V2201/03 ,  G06T2207/30108 ,  G06T2207/30048 ,  G06T2207/30021 ,  G06T2207/20081 ,  G06T2207/20084 ,  A61B6/481

Abstract: A cardiac catheterization image recognition and evaluation method is disclosed. The first deep learning algorithm is used to conduct an object recognition process on the cardiac catheterization image to obtain the vessel object image. The image processing process is conducted to the cardiac catheterization image to obtain the vessel location image. The vessel object image and the vessel location image are combined to obtain the vessel contour image. The vessel type judging process is conducted to the vessel contour image to determine the type of vessel in the cardiac catheterization image. The second deep learning algorithm is used on the vessel contour image to detect the vessel occlusion location and to judge the vessel occlusion rate. Based on the type of vessel and the vessel occlusion rate at the vessel occlusion location, the cardiac catheterization image is evaluated to obtain the SYNTAX Score.