Automatic contouring of brachial plexus using a multi-atlas approach for lung cancer radiation therapy
Automatic contouring of brachial plexus using a multi-atlas approach for lung cancer radiation therapy
复制标题
DOI：
10.1016/j.prro.2013.01.002
复制
发表时间：
2013-10-01
影响因子：
3.3
通讯作者：
Dong, Lei
中科院分区：
文献类型：
--
作者：
Yang, Jinzhong;Amini, Arya;Dong, Lei
目的：为了证明一个多图集分割方法，以促进准确和一致的低对比度臂丛CT图像的肺癌放射therapeutic.Methods和Materials划定：我们回顾性地确定了90例肺癌患者的治疗体积附近的臂丛神经。选择10例有代表性的患者组成寰椎组，手工勾画其臂丛神经。我们使用变形图像配准映射每个寰椎臂丛神经的其余80例。在每例患者中，使用同步真值和性能水平估计算法从10个单独分割创建复合轮廓。对该自动描绘的轮廓进行了审查，并针对每例患者进行了适当修改。我们还进行了10个留一法测试，使用10个图集，以验证分割的准确性，并证明轮廓的一致性，使用多atlassegmentation.Results：多atlas分割需要不到2分钟完成。轮廓修改需要5分钟，而手动轮廓从头开始需要20分钟。来自10次留一法测试的多图谱分割的平均三维（3D）体积重叠为59.2% +/- 8.2%，平均3D表面距离为2.4 mm +/- 0.5 mm。10次留一法测试中的个体轮廓和平均轮廓之间的距离表明，与手动轮廓相比，修改轮廓的轮廓一致性要好得多。自动分割的轮廓不需要进行实质性修改，80名患者的修改轮廓和自动分割轮廓之间的良好一致性证明了这一点。剂量体积直方图的自动分割和修改后的轮廓也在良好的协议，显示编辑自动分割轮廓是临床上可以接受的剂量improvement.Conclusions：多图集分割大大减少了勾画轮廓的时间，提高了勾画轮廓的一致性。编辑自动分割轮廓描绘臂丛神经被证明是一个更好的临床实践比手动轮廓从头开始。(C)2013年美国放射肿瘤学会。爱思唯尔公司出版All rights reserved.
Purpose: To demonstrate a multi-atlas segmentation approach to facilitating accurate and consistent delineation of low-contrast brachial plexuses on computed tomographic images for lung cancer radiation therapy.Methods and Materials: We retrospectively identified 90 lung cancer patients with treatment volumes near the brachial plexus. Ten representative patients were selected to form an atlas group, and their brachial plexuses were delineated manually. We used deformable image registration to map each atlas brachial plexus to the remaining 80 patients. In each patient, a composite contour was created from 10 individual segmentations using the simultaneous truth and performance level estimation algorithm. This auto-delineated contour was reviewed and modified appropriately for each patient. We also performed 10 leave-one-out tests using the 10 atlases to validate the segmentation accuracy and demonstrate the contouring consistency using multi-atlas segmentation.Results: The multi-atlas segmentation took less than 2 minutes to complete. Contour modification took 5 minutes compared with 20 minutes for manual contouring from scratch. The multi-atlas segmentation from the 10 leave-one-out tests had a mean 3-dimensional (3D) volume overlap of 59.2% +/- 8.2% and a mean 3D surface distance of 2.4 mm +/- 0.5 mm. The distances between the individual and average contours in the 10 leave-one-out tests demonstrated much better contouring consistency for modified contours than for manual contours. The auto-segmented contours did not require substantial modification, demonstrated by the good agreement between the modified and auto-segmented contours in the 80 patients. Dose volume histograms of auto-segmented and modified contours were also in good agreement, showing that editing auto-segmented contours is clinically acceptable in view of the dosimetric impact.Conclusions: Multi-atlas segmentation greatly reduced contouring time and improved contouring consistency. Editing auto-segmented contours to delineate the brachial plexus proved to be a better clinical practice than manually contouring from scratch. (C) 2013 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.