MCR工具包:基于GPU的工具包,用于多通道重建临床前和临床X射线CT数据
Darin P Clark1,2, Cristian T Badea1
1Quantitative Imaging and Analysis Lab, Department of Radiology, Duke University, Durham, North Carolina, USA.
Medical physics
|June 7, 2023
概括
本研究介绍了用于先进的X射线CT成像的多通道重建 (MCR) 工具包. 该工具包提高了图像质量,并加速了临床前和临床应用的重建.
科学领域:
- 医疗成像医学成像
- 计算成像技术的成像
- 射线计算机断层扫描 (CT)
背景情况:
- 光子计数光谱成像和动态心脏/输液成像方面的进步在X射线CT中提出了新的挑战和机遇.
- 需要新的CT重建工具来解决剂量限制和扫描时间,同时实现多对比成像和低剂量冠状动脉血管学.
- 这些工具应该利用道间的关系来改善图像质量,并促进临床前到临床翻译.
研究的目的:
- 介绍和演示一种新的多通道重建 (MCR) 工具包,用于基于GPU的多能和动态X射线CT数据的重建.
- 提供一个开源工具包,以促进科学合作,加快先进CT成像研究和开发.
主要方法:
- 该MCR工具包是在C/C++中与CUDA实现的,用于GPU加速,支持MATLAB和Python脚本.
- 它具有匹配的,可分离的足迹CT重建操作员,用于平面圆束CT (CBCT) 和多探测器行CT (MDCT).
- 重建采用分析方法 (FBP,WFBP) 和代技术,采用通用多通道信号模型,由RSKR和PSVT规范化,具有自动参数估计和多GPU并行.
主要成果:
- 该工具包成功地在临床前和临床心脏光子计数CT数据上进行了脱光和材料分解.
- 通过增加单能,多能,时间解析和组合METR CBCT数据的数据维度进行了强大的重建.
- 在一到四个GPU中实现了61%至99%的计算缩放效率,用于各种CT重建问题.
结论:
- MCR工具包为时间和光谱X射线CT重建提供了强大的解决方案.
- 它的设计促进了CT研究和开发在临床前和临床环境之间无转换.
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