用深度学习和代重建算法在优化低剂量扫描协议下使用双能量CT肺血管图像的40 keV虚拟单能图像的图像质量比较

Dapeng Zhang1,2,3, Lulu Zhang1,2,3, Juan Long1,2,3

  • 1Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.

概括

深度学习图像重建 (DLIR-H) 在40 keV时显著改善双能CTPA图像质量,减少噪音和增强对比度. 这一进步为低辐射剂量检测肺栓塞的诊断准确性提供了更好的诊断准确性.

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