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实验验证单能和双能 CT 在生物组织中的阻止本领预测。

Experimental verification of stopping-power prediction from single- and dual-energy computed tomography in biological tissues.

机构信息

German Cancer Research Center (DKFZ), Heidelberg, Germany. National Center for Radiation Research in Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO) Heidelberg, Germany.

出版信息

Phys Med Biol. 2018 Jan 9;63(2):025001. doi: 10.1088/1361-6560/aaa1c9.

Abstract

An experimental setup for consecutive measurement of ion and x-ray absorption in tissue or other materials is introduced. With this setup using a 3D-printed sample container, the reference stopping-power ratio (SPR) of materials can be measured with an uncertainty of below 0.1%. A total of 65 porcine and bovine tissue samples were prepared for measurement, comprising five samples each of 13 tissue types representing about 80% of the total body mass (three different muscle and fatty tissues, liver, kidney, brain, heart, blood, lung and bone). Using a standard stoichiometric calibration for single-energy CT (SECT) as well as a state-of-the-art dual-energy CT (DECT) approach, SPR was predicted for all tissues and then compared to the measured reference. With the SECT approach, the SPRs of all tissues were predicted with a mean error of (-0.84  ±  0.12)% and a mean absolute error of (1.27  ±  0.12)%. In contrast, the DECT-based SPR predictions were overall consistent with the measured reference with a mean error of (-0.02  ±  0.15)% and a mean absolute error of (0.10  ±  0.15)%. Thus, in this study, the potential of DECT to decrease range uncertainty could be confirmed in biological tissue.

摘要

介绍了一种用于连续测量组织或其他材料中的离子和 X 射线吸收的实验设置。使用这种设置和 3D 打印的样品容器,可以以低于 0.1%的不确定度测量材料的参考阻止本领比(SPR)。总共准备了 65 个猪和牛组织样本进行测量,包括代表大约 80%总体重的 13 种组织类型的每种组织 5 个样本(三种不同的肌肉和脂肪组织、肝、肾、脑、心、血、肺和骨)。使用单能 CT(SECT)的标准化学计量校准以及最先进的双能 CT(DECT)方法,预测了所有组织的 SPR,并将其与测量的参考值进行了比较。使用 SECT 方法,所有组织的 SPR 预测的平均误差为 (-0.84  ±  0.12)%,平均绝对误差为 (1.27  ±  0.12)%。相比之下,基于 DECT 的 SPR 预测与测量的参考值总体上一致,平均误差为 (-0.02  ±  0.15)%,平均绝对误差为 (0.10  ±  0.15)%。因此,在这项研究中,可以确认 DECT 在生物组织中降低范围不确定性的潜力。

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