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Updated: Apr 12, 2026

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
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基于深度学习的定量CT心肌输液成像和冠状动脉疾病风险分层

Yarong Yu1, Dijia Wu2, Jiajun Yuan1

  • 1Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, #85 Wujin Rd, Shanghai, China 200080.

Radiology
|April 29, 2025
PubMed
概括

一个新的深度学习模型使用CT成像准确量化心肌血流 (MBF),改善心肌缺血的诊断,并预测主要心血管不良事件 (MACE). 这种工具增强了心血管风险分层.

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