Archawametheekul Kamonchanok, Puttanawarut Chanon, Suphaphong Sithiphong, Jiarpinitnun Chuleeporn, Sakulsingharoj Siwaporn, Stansook Nauljun, Khachonkham Suphalak
Division of Radiation Oncology, Department of Diagnostic and Therapeutic Radiology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Chakri Naruebodindra Medical Institute, Mahidol University, Samut Prakan, Thailand.
J Med Phys. 2024 Jan-Mar;49(1):64-72. doi: 10.4103/jmp.jmp_168_23. Epub 2024 Mar 30.
Image registration is a crucial component of the adaptive radiotherapy workflow. This study investigates the accuracy of the deformable image registration (DIR) and contour propagation features of SmartAdapt, an application in the Eclipse treatment planning system (TPS) version 16.1.
The registration accuracy was validated using the Task Group No. 132 (TG-132) virtual phantom, which features contour evaluation and landmark analysis based on the quantitative criteria recommended in the American Association of Physicists in Medicine TG-132 report. The target registration error, Dice similarity coefficient (DSC), and center of mass displacement were used as quantitative validation metrics. The performance of the contour propagation feature was evaluated using clinical datasets (head and neck, pelvis, and chest) and an additional four-dimensional computed tomography (CT) dataset from TG-132. The primary planning and the second CT images were appropriately registered and deformed. The DSC was used to find the volume overlapping between the deformed contours and the radiation oncologist (RO)-drawn contour. The clinical value of the DIR-generated structure was reviewed and scored by an experienced RO to make a qualitative assessment.
The registration accuracy fell within the specified tolerances. SmartAdapt exhibited a reasonably propagated contour for the chest and head-and-neck regions, with DSC values of 0.80 for organs at risk. Misregistration is frequently observed in the pelvic region, which is specified as a low-contrast region. However, 78% of structures required no modification or minor modification, demonstrating good agreement between contour comparison and the qualitative analysis.
SmartAdapt has adequate efficiency for image registration and contour propagation for adaptive purposes in various anatomical sites. However, there should be concern about its performance in regions with low contrast and small volumes.
图像配准是自适应放射治疗工作流程的关键组成部分。本研究调查了Eclipse治疗计划系统(TPS)16.1版本中的应用程序SmartAdapt的可变形图像配准(DIR)和轮廓传播功能的准确性。
使用任务组第132号(TG - 132)虚拟体模验证配准准确性,该体模基于美国医学物理学家协会TG - 132报告中推荐的定量标准进行轮廓评估和地标分析。目标配准误差、骰子相似系数(DSC)和质心位移用作定量验证指标。使用临床数据集(头颈部、骨盆和胸部)以及来自TG - 132的另外一个四维计算机断层扫描(CT)数据集评估轮廓传播功能的性能。对初次计划和第二幅CT图像进行适当配准和变形。使用DSC来确定变形轮廓与放射肿瘤学家(RO)绘制的轮廓之间的体积重叠。由经验丰富的RO对DIR生成的结构的临床价值进行审查和评分,以进行定性评估。
配准准确性在规定的公差范围内。SmartAdapt在胸部和头颈部区域显示出合理传播的轮廓,危及器官的DSC值为0.80。在指定为低对比度区域的骨盆区域经常观察到配准错误。然而,78%的结构无需修改或只需轻微修改,表明轮廓比较与定性分析之间具有良好的一致性。
SmartAdapt在各种解剖部位用于自适应目的的图像配准和轮廓传播方面具有足够的效率。然而,应关注其在低对比度和小体积区域的性能。