Automatic vessel segmentation and reformation of non-contrast coronary magnetic resonance angiography using transfer learning-based three-dimensional U-net with attention mechanism

Automatic vessel segmentation and reformation of non-contrast coronary magnetic resonance angiography using transfer learning-based three-dimensional U-net with attention mechanism

ABSTRACT: Background: Coronary magnetic resonance angiography (CMRA) presents distinct advantages, but its reliance on manual image post-processing is labor-intensive and requires specialized knowledge. This study aims to design and test an efficient artificial intelligence (AI) model capable of au...

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Bibliographic Details
Main Authors: Lu Lin, Yijia Zheng, Yanyu Li, Difei Jiang, Jian Cao, Jian Wang, Yueting Xiao, Xinsheng Mao, Chao Zheng, Yining Wang
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Journal of Cardiovascular Magnetic Resonance
Subjects:
Artificial intelligence
Coronary magnetic resonance angiography
Transfer learning
Vessel segmentation
Image reformation
Online Access:http://www.sciencedirect.com/science/article/pii/S1097664724011530
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