AUTOMATIC SEGMENTATION OF CARDIOVASCULAR STRUCTURES IMAGED ON CARDIAC COMPUTED TOMOGRAPHY ANGIOGRAPHY USING DEEP LEARNING

Lohendran Baskaran,Gurpreet Singh,Zhuoran Xu,Benjamin Lee,Jeong Choi,Umberto Gianni,Alexander van Rosendael,Inge J. van den Hoogen,Simon Dunham,Bobak Mosadegh,Fay Lin,Hyuk-Jae Chang,James Min,Leslee J. Shaw,Subhi Al’Aref

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY（2020）

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摘要

The quantitative assessment of structures from Cardiac Computed Tomography Angiography (CCTA) usually requires manual segmentation and adjustment which can be time-consuming. We used Deep Learning to segment the proximal ascending and descending aorta (PAA, DA), superior and inferior vena cavae (SVC

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