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Updated: Feb 21, 2026

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正常分辨率与超级分辨率的深度学习重建用于诊断功能显著的冠状动脉狭窄,使用心脏CTCT

Nobuo Tomizawa1, Ruiheng Fan1, Shinichiro Fujimoto2

  • 1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Journal of cardiovascular computed tomography
|February 19, 2026
PubMed
概括

超分辨率深度学习重建 (SR-DLR) 提高了图像质量,并改善了CT衍生分流储备 (CT-FFR) 的诊断性能,用于识别显著的冠状动脉狭窄. 这种先进的技术与正常分辨率深度学习重建 (NR-DLR) 相比,提供了更高的准确性.

关键词:
电脑图像扫描血管造影 CT血管造影冠状动脉的冠状动脉冠状动脉狭窄症 冠状动脉狭窄症深度学习重建的重建图像质量 图像质量

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