深度学习拒绝算法用于改进冠状动脉的评估在跨导管大动脉植入CT成像CT成像中

Ludovica R M Lanzafame1, Sebastian Steinmetz2, Tommaso D'Angelo1

  • 1Diagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital Messina, 98124 Messina, Italy (L.R.M.L., T.D., S.M.).

Academic radiology
|November 8, 2025
PubMed
概括

基于深度学习的降噪 (DLD) 显著提高了CT图像质量,用于跨导管大动脉植入 (TAVI) 计划. 这种先进的技术可以改善冠状动脉的可视化,而不会影响冠状动脉疾病检测的诊断准确性.

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