成像体模
蒙特卡罗方法
探测器
能量(信号处理)
光学
图像质量
锥束ct
梁(结构)
计算机科学
反向
物理
材料科学
计算机断层摄影术
图像(数学)
几何学
计算机视觉
数学
医学
量子力学
统计
放射科
作者
Yidi Yao,Liang Li,Zhiqiang Chen
标识
DOI:10.3389/fphy.2021.632869
摘要
In this paper, we propose a novel static CT system: triple planes CT (TPCT) system. Three source-detector planes in different horizontal directions are placed in the system. Line-array carbon nanotube sources with different voltages and sandwich detectors are used. Compared to conventional cone-beam CT and common inverse-geometry CT, the TPCT enables fast scanning and six-energy imaging. 1-D U-Net is applied to correct the severe scatter caused by the special geometry. The limited-view problem is solved by the hybrid reconstruction algorithm. A Monte-Carlo simulation is performed on a thorax phantom. Both the reconstruction results and decomposition results have good image quality and show the feasibility of our proposed TPCT imaging system.
科研通智能强力驱动
Strongly Powered by AbleSci AI