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具有新型机载锥形束计算机断层扫描功能和先进重建算法的C型臂直线加速器的亨氏单位特征分析与剂量计算

Hounsfield Unit characterization and dose calculation on a C-arm linac with novel on-board cone-beam computed tomography feature and advanced reconstruction algorithms.

作者信息

Gregg Kenneth W, Arsenault Theodore, Rezaei Atefeh, Kashani Rojano, Henke Lauren, Price Alex T

机构信息

Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Cleveland, Ohio, USA.

Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.

出版信息

J Appl Clin Med Phys. 2025 Aug;26(8):e70145. doi: 10.1002/acm2.70145.

DOI:10.1002/acm2.70145
PMID:40714930
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12301083/
Abstract

PURPOSE

Current cone-beam computed tomography (CBCT) on-board c-arm linear accelerators (linacs) lack CT number precision sufficient for dose calculation due to increased scatter from the cone geometry. This investigation evaluated CT number and dose calculation accuracy in-phantom on a novel on-board CBCT unit with potential for improved dose calculation accuracy.

METHODS

Eight head and eight body configurations of an electron density phantom using 16 materials were acquired with a clinical CT-simulator(CT-sim) and novel on-board CBCT imager. CBCT projection data was reconstructed using conventional Feldkamp-Davis-Kress(FDK) and patient scatter-corrected iterative Acuros CTS with metal artifact reduction (Acuros-CTS-iCBCT-MAR) to create a robust CT number to physical density curve. CT-sim and CBCT images of anthropomorphic head and thorax phantoms were acquired, and three treatment plans were generated per phantom. All CBCT images were registered to the CT-sim of the phantoms, and the dose was recalculated on the CBCT images. 3D gamma analysis was performed (10% dose threshold, local, 1% dose difference, 1 or 2 mm distance to agreement), and dose-volume histogram (DVH) metrics were reported for target coverage and organ sparing.

RESULTS

CT numbers for materials ≤1.08 g/cc showed high agreement between CT-sim and CBCT acquisitions. CT number precision improved with Acuros-CTS-iCBCT-MAR compared to FDK in all materials. High agreement between CT-sim and CBCT reconstructed with Acuros-CTS-iCBCT-MAR was observed in 3D gamma analysis showing 93.8% voxels passing in the worst case for a spine stereotactic body radiotherapy (SBRT) plan at 1%/1 mm. Maximum deviation in target coverage was -3.3% PTV-D98% in the lung SBRT plan among the novel reconstructed CBCT images. Plan comparison using FDK reconstructions yielded similar or worse agreement in 3D gamma analysis, with 69.7% voxels passing in the worst case for a spine SBRT treatment plan. Maximum target coverage deviation was -11.7% PTV-D98% among the FDK-reconstructed CBCT.

CONCLUSIONS

Novel CBCT solutions on c-arm linacs show promise for enabling direct-to-unit or offline adaptive dose calculation, potentially increasing versatility and efficiency of patient-centered care.

摘要

目的

由于锥形几何结构导致散射增加,当前锥形束计算机断层扫描(CBCT)机载C型臂直线加速器(直线加速器)缺乏足以进行剂量计算的CT值精度。本研究评估了一种新型机载CBCT设备在体模内的CT值和剂量计算准确性,该设备具有提高剂量计算准确性的潜力。

方法

使用16种材料的电子密度体模的8种头部和8种身体配置,通过临床CT模拟机(CT-sim)和新型机载CBCT成像仪进行采集。使用传统的菲尔德坎普-戴维斯-克雷斯(FDK)算法和患者散射校正迭代Acuros CTS并减少金属伪影(Acuros-CTS-iCBCT-MAR)重建CBCT投影数据,以创建一条稳健的CT值与物理密度曲线。采集拟人化头部和胸部体模的CT-sim和CBCT图像,每个体模生成三个治疗计划。所有CBCT图像都与体模的CT-sim进行配准,并在CBCT图像上重新计算剂量。进行三维伽马分析(10%剂量阈值,局部,1%剂量差异,1或2毫米距离一致性),并报告剂量体积直方图(DVH)指标以评估靶区覆盖和器官保护情况。

结果

密度≤1.08 g/cc的材料的CT值在CT-sim和CBCT采集之间显示出高度一致性。与FDK相比,Acuros-CTS-iCBCT-MAR在所有材料中均提高了CT值精度。在三维伽马分析中观察到,使用Acuros-CTS-iCBCT-MAR重建的CT-sim和CBCT之间具有高度一致性,在脊柱立体定向体部放射治疗(SBRT)计划的最坏情况下,1%/1毫米时93.8%的体素通过。在新型重建的CBCT图像中,肺部SBRT计划中靶区覆盖的最大偏差为PTV-D98%的-3.3%。使用FDK重建进行计划比较在三维伽马分析中产生了相似或更差的一致性,在脊柱SBRT治疗计划的最坏情况下,69.7%的体素通过。在FDK重建的CBCT中,最大靶区覆盖偏差为PTV-D98%的-11.7%。

结论

C型臂直线加速器上的新型CBCT解决方案有望实现直接在设备上或离线进行自适应剂量计算,可能会提高以患者为中心的护理的通用性和效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a2f/12301083/b8bfc5b00e23/ACM2-26-e70145-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a2f/12301083/5b2f4ff7a786/ACM2-26-e70145-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a2f/12301083/b8bfc5b00e23/ACM2-26-e70145-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a2f/12301083/5b2f4ff7a786/ACM2-26-e70145-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a2f/12301083/b8bfc5b00e23/ACM2-26-e70145-g001.jpg

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