Department of Medical Physics, Careggi University Hospital, Florence, Italy.
Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy.
J Appl Clin Med Phys. 2020 Dec;21(12):219-230. doi: 10.1002/acm2.13093. Epub 2020 Nov 25.
The aim of this work was to establish a methodological approach for creation and optimization of an atlas for auto-contouring, using the commercial software MIM MAESTRO (MIM Software Inc. Cleveland OH).
A computed tomography (CT) male pelvis atlas was created and optimized to evaluate how different tools and options impact on the accuracy of automatic segmentation. Pelvic lymph nodes (PLN), rectum, bladder, and femurs of 55 subjects were reviewed for consistency by a senior consultant radiation oncologist with 15 yr of experience. Several atlas and workflow options were tuned to optimize the accuracy of auto-contours. The deformable image registration (DIR), the finalization method, the k number of atlas best matching subjects, and several post-processing options were studied. To test our atlas performances, automatic and reference manual contours of 20 test subjects were statistically compared based on dice similarity coefficient (DSC) and mean distance to agreement (MDA) indices. The effect of field of view (FOV) reduction on auto-contouring time was also investigated.
With the optimized atlas and workflow, DSC and MDA median values of bladder, rectum, PLN, and femurs were 0.91 and 1.6 mm, 0.85 and 1.6 mm, 0.85 and 1.8 mm, and 0.96 and 0.5 mm, respectively. Auto-contouring time was more than halved by strictly cropping the FOV of the subject to be contoured to the pelvic region.
A statistically significant improvement of auto-contours accuracy was obtained using our atlas and optimized workflow instead of the MIM Software pelvic atlas.
本研究旨在建立一种使用商业软件 MIM MAESTRO(MIM Software Inc. Cleveland OH)创建和优化自动勾画图谱的方法。
创建并优化了一个男性骨盆 CT 图谱,以评估不同工具和选项对自动分割准确性的影响。由一位经验丰富的高级顾问放射肿瘤学家对 55 名患者的骨盆淋巴结 (PLN)、直肠、膀胱和股骨进行回顾,以评估一致性。调整了几个图谱和工作流程选项,以优化自动勾画的准确性。研究了可变形图像配准 (DIR)、最终化方法、与最佳匹配的图谱 Subject 数量 k 和几个后处理选项。为了测试我们的图谱性能,根据 Dice 相似系数 (DSC) 和平均一致性距离 (MDA) 指数,对 20 名测试患者的自动和参考手动轮廓进行了统计学比较。还研究了减少视野 (FOV) 对自动勾画时间的影响。
使用优化的图谱和工作流程,膀胱、直肠、PLN 和股骨的 DSC 和 MDA 中位数分别为 0.91 和 1.6mm、0.85 和 1.6mm、0.85 和 1.8mm 和 0.96 和 0.5mm。通过严格裁剪要勾画的患者的 FOV 到骨盆区域,自动勾画时间减少了一半以上。
与使用 MIM Software 骨盆图谱相比,使用我们的图谱和优化的工作流程可以显著提高自动勾画的准确性。