Sung Yongjin, Segars W Paul, Pan Adam, Ando Masami, Sheppard Colin J R, Gupta Rajiv
Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA.
Department of Radiology, Duke University, Durham, North Carolina 27705, USA.
Sci Rep. 2015 Jul 14;5:12011. doi: 10.1038/srep12011.
X-ray phase-contrast imaging (XPCI) can dramatically improve soft tissue contrast in X-ray medical imaging. Despite worldwide efforts to develop novel XPCI systems, a numerical framework to rigorously predict the performance of a clinical XPCI system at a human scale is not yet available. We have developed such a tool by combining a numerical anthropomorphic phantom defined with non-uniform rational B-splines (NURBS) and a wave optics-based simulator that can accurately capture the phase-contrast signal from a human-scaled numerical phantom. Using a synchrotron-based, high-performance XPCI system, we provide qualitative comparison between simulated and experimental images. Our tool can be used to simulate the performance of XPCI on various disease entities and compare proposed XPCI systems in an unbiased manner.
X射线相衬成像(XPCI)能够显著提高X射线医学成像中的软组织对比度。尽管全球都在努力开发新型XPCI系统,但尚未有一个数值框架能够在人体尺度上严格预测临床XPCI系统的性能。我们通过结合一个用非均匀有理B样条(NURBS)定义的数值人体模型和一个基于波动光学的模拟器开发了这样一种工具,该模拟器能够准确捕捉来自人体尺度数值模型的相衬信号。利用基于同步加速器的高性能XPCI系统,我们对模拟图像和实验图像进行了定性比较。我们的工具可用于模拟XPCI在各种疾病实体上的性能,并以无偏的方式比较所提出的XPCI系统。