深度学习图像重建 (DLIR) 算法,以保持高图像质量和诊断准确性,在四倍低CT血管学肺部封存儿童:一个案例对照研究研究

Haoyan Li1, Yuchen Zhang2, Shan Hua3

  • 1Department of radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, No.56, Nanlishi Road, Xicheng District, Beijing 100045, China (H.L., Y.Z., R.S., Y.P., J.S.).

Academic radiology
|May 23, 2025
PubMed
概括

与深度学习图像重建的四倍低CT血管造影 (4L-CTA) 在患有肺部封存 (PS) 的儿童中显著降低了辐射和对比剂量. 这种方法保持了高的诊断准确度和小动脉的可视化,证明了儿童PS检测的有效性.