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一种适用于双能锥形束 CT 扫描协议中剂量优化的可推广的新优值。

A generalizable new figure of merit for dose optimization in dual energy cone beam CT scanning protocols.

机构信息

Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, 100142, People's Republic of China.

Department of Physics and Astronomy, University of British Columbia, 325-6224 Agricultural Road, Vancouver, BC V6T1Z1, Canada.

出版信息

Phys Med Biol. 2023 Sep 13;68(18). doi: 10.1088/1361-6560/acf3cd.

Abstract

. This study proposes and evaluates a new figure of merit (FOMn) for dose optimization of Dual-energy cone-beam CT (DE-CBCT) scanning protocols based on size-dependent modeling of radiation dose and multi-scale image quality.. FOMn was defined using Z-score normalization and was proportional to the dose efficiency providing better multi-scale image quality, including comprehensive contrast-to-noise ratio (CCNR) and electron density (CED) for CatPhan604 inserts of various materials. Acrylic annuluses were combined with CatPhan604 to create four phantom sizes (diameters of the long axis are 200 mm, 270 mm, 350 mm, and 380 mm, respectively). DE-CBCT was decomposed using image-domain iterative methods based on Varian kV-CBCT images acquired using 25 protocols (100 kVp and 140 kVp combined with 5 tube currents).. The accuracy of CED was approximately 1% for all protocols, but degraded monotonically with the increased phantom sizes. Combinations of lower voltage + higher current and higher voltage + lower current were optimal protocols balancing CCNR and dose. The most dose-efficient protocols for CED and CCNR were inconsistent, underlining the necessity of including multi-scale image quality in the evaluation and optimization of DE-CBCT. Pediatric and adult anthropomorphic phantom tests confirmed dose-efficiency of FOMn-recommended protocols.. FOMn is a comprehensive metric that collectively evaluates radiation dose and multi-scale image quality for DE-CBCT. The models and data can also serve as lookup tables, suggesting personalized dose-efficient protocols for specific clinical imaging purposes.

摘要

. 本研究提出并评估了一种新的基于剂量依赖性辐射剂量建模和多尺度图像质量的双能锥形束 CT(DE-CBCT)扫描方案优化的优值(FOMn)。FOMn 使用 Z 分数归一化定义,与剂量效率成正比,可提供更好的多尺度图像质量,包括各种材料的 CatPhan604 插件的综合对比噪声比(CCNR)和电子密度(CED)。亚克力环与 CatPhan604 结合,创建了四个模体尺寸(长轴直径分别为 200mm、270mm、350mm 和 380mm)。DE-CBCT 使用基于基于 Varían kV-CBCT 图像的图像域迭代方法进行分解,这些图像是使用 25 种方案(100kVp 和 140kVp 与 5 种管电流相结合)获得的。. 所有方案的 CED 精度约为 1%,但随着模体尺寸的增加而单调下降。低电压+高电流和高电压+低电流的组合是平衡 CCNR 和剂量的最佳方案。用于 CED 和 CCNR 的最具剂量效率的方案并不一致,这强调了在 DE-CBCT 的评估和优化中包括多尺度图像质量的必要性。儿科和成人人体模体测试证实了 FOMn 推荐方案的剂量效率。. FOMn 是一种综合指标,可综合评估 DE-CBCT 的辐射剂量和多尺度图像质量。这些模型和数据也可以作为查找表,为特定的临床成像目的提供个性化的剂量效率方案。

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