Suppr超能文献

kV-MV 双能计算机断层扫描在确定患者质子阻止本领比方面是否有优势?

Does kV-MV dual-energy computed tomography have an advantage in determining proton stopping power ratios in patients?

机构信息

Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

出版信息

Phys Med Biol. 2011 Jul 21;56(14):4499-515. doi: 10.1088/0031-9155/56/14/017. Epub 2011 Jun 30.

Abstract

Conventional kilovoltage (kV) x-ray-based dual-energy CT (DECT) imaging using two different x-ray energy spectra is sensitive to image noise and beam hardening effects. The purpose of this study was to evaluate the theoretical advantage of the DECT method for determining proton stopping power ratios (SPRs) using a combination of kV and megavoltage (MV) x-ray energies. We investigated three representative x-ray energy pairs: 100 and 140 kVp comprised the kV-kV pair, 100 kVp and 1 MV comprised the kV-MV pair, and two 1 MV x-ray beams-one with and one without external filtration-comprised the MV-MV pair. The SPRs of 34 human tissues were determined using the DECT method with these three x-ray energy pairs. Small perturbations were introduced into the CT numbers and x-ray spectra used for the DECT calculation to simulate the effects of random noise and beam hardening. An error propagation analysis was performed on the DECT calculation algorithm to investigate the propagation of CT number uncertainty to final SPR estimation and to suggest the best x-ray energy combination. We found that the DECT method using each of the three beam pairs achieved similar accuracy in determining the SPRs of human tissues in ideal conditions. However, when CT number uncertainties and artifacts such as imaging noise and beam hardening effects were considered, the kV-MV DECT improved the accuracy of SPR estimation substantially over the kV-kV or MV-MV DECT methods. Furthermore, our error propagation analysis showed that the combination of 100 kVp and 1 MV beams was close to the optimal selection when using the DECT method to determine SPRs. Overall, the kV-MV combination makes the DECT method more robust in resolving the effective atomic numbers for biological tissues than the traditional kV-kV DECT method.

摘要

传统千伏(kV) X 射线双能 CT(DECT)成像使用两种不同的 X 射线能谱,对图像噪声和束硬化效应敏感。本研究旨在评估使用 kV 和兆伏(MV) X 射线能量组合的 DECT 方法确定质子阻止比(SPR)的理论优势。我们研究了三个典型的 X 射线能量对:100kVp 和 140kVp 组成 kV-kV 对,100kVp 和 1MV 组成 kV-MV 对,两个 1MV X 射线束,一个有外部过滤,一个没有外部过滤,组成 MV-MV 对。使用这三种 X 射线能量对,通过 DECT 方法确定了 34 个人体组织的 SPR。在 DECT 计算中,我们对 CT 值和 X 射线谱进行了小的扰动,以模拟随机噪声和束硬化的影响。对 DECT 计算算法进行了误差传播分析,以研究 CT 值不确定性对最终 SPR 估计的传播,并提出最佳的 X 射线能量组合。我们发现,在理想条件下,使用这三种射线对中的每一种,DECT 方法在确定人体组织的 SPR 方面都具有相似的准确性。然而,当考虑到 CT 值不确定性和成像噪声、束硬化等伪影时,kV-MV DECT 方法比 kV-kV 或 MV-MV DECT 方法大大提高了 SPR 估计的准确性。此外,我们的误差传播分析表明,在使用 DECT 方法确定 SPR 时,100kVp 和 1MV 射线束的组合是最佳选择。总的来说,与传统的 kV-kV DECT 方法相比,kV-MV 组合使 DECT 方法在确定生物组织的有效原子数方面更稳健。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca04/3144258/e1ec2de3cc3b/nihms309154f1.jpg

相似文献

引用本文的文献

10
Image guidance in proton therapy for lung cancer.肺癌质子治疗中的图像引导
Transl Lung Cancer Res. 2018 Apr;7(2):160-170. doi: 10.21037/tlcr.2018.03.26.

本文引用的文献

4
Ion stopping powers and CT numbers.离子阻止本领与CT值。
Med Dosim. 2010 Autumn;35(3):179-94. doi: 10.1016/j.meddos.2009.05.004. Epub 2009 Jun 21.
10
Methodologies and tools for proton beam design for lung tumors.用于肺部肿瘤质子束设计的方法和工具。
Int J Radiat Oncol Biol Phys. 2001 Apr 1;49(5):1429-38. doi: 10.1016/s0360-3016(00)01555-8.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验