An Automated Cardiac Ventricle Segmentation on CMR Images Using Grey-Level Mask R-CNN

Hsiao Chi Li, Kuan Yu Chen, Shih Hsien Sung, Chun Ku Chen

研究成果: Conference contribution同行評審

摘要

Myocardial fibrosis is a pathological change in the progress of modern heart disease. It is mainly characterized by dysregulation or marked increase of collagen volume in myocardial components. The physiological mechanism of fibrosis in different pathologies is very diverse. It has been proved that the use of MRI for the detection of heart failure patients can provide accurate measurements of left ventricle and right ventricle and assessment of myocardial function, but the accurate segmentation of myocardial contour is still an important prerequisite for the detection of fibrosis. This study uses Mask R-CNN on the ACDC challenge Database to repeatedly adjust the characteristics of the boundary of the Bounding box, and separately divided the left ventricular area and the right ventricular area. The proposed method can achieve up to 95% hit rate with 0.89 IoU.

原文English
主出版物標題2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665433280
DOIs
出版狀態Published - 2021
事件8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 - Penghu, Taiwan
持續時間: 15 9月 202117 9月 2021

出版系列

名字2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021

Conference

Conference8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
國家/地區Taiwan
城市Penghu
期間15/09/2117/09/21

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