ScatterFusionNet
主题:物理约束深度学习与双探测器 CT 散射校正
X 射线散射会降低 CT 图像的对比度并产生定量偏差。相关论文研究如何结合双探测器测量与 Klein–Nishina 散射先验,将物理信息引入深度网络,以增强跨成像对象的适用性。
论文: Huahai Sun, Wenyu Zhang, Liang Li. Physics in Medicine & Biology 71(10), 105027 (2026). DOI.
Published research · 2026
主题:物理约束深度学习与双探测器 CT 散射校正
X 射线散射会降低 CT 图像的对比度并产生定量偏差。相关论文研究如何结合双探测器测量与 Klein–Nishina 散射先验,将物理信息引入深度网络,以增强跨成像对象的适用性。
论文: Huahai Sun, Wenyu Zhang, Liang Li. Physics in Medicine & Biology 71(10), 105027 (2026). DOI.
Physics in Medicine & Biology 71(10), 105027 · 2026
@article{Sun2026ScatterFusionNet,
author = {Sun, Huahai and Zhang, Wenyu and Li, Liang},
title = {{ScatterFusionNet}: physics-informed deep scatter correction for dual-detector {CT} using {Klein--Nishina} prior},
journal = {Physics in Medicine \& Biology},
year = {2026},
volume = {71},
number = {10},
pages = {105027},
doi = {10.1088/1361-6560/ae6af7},
url = {https://doi.org/10.1088/1361-6560/ae6af7}
}