Cardiac atlas development and validation for automatic segmentation of cardiac substructures.
Cardiac atlas development and validation for automatic segmentation of cardiac substructures.
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DOI：
10.1016/j.radonc.2016.11.016
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发表时间：
2017-01
期刊：
影响因子：
--
通讯作者：
Yang J
中科院分区：
文献类型：
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作者：
Zhou R;Liao Z;Pan T;Milgrom SA;Pinnix CC;Shi A;Tang L;Yang J;Liu Y;Gomez D;Nguyen QN;Dabaja BS;Court L;Yang J
开发并验证一套用于自动绘制心脏子结构轮廓的图集。 8 名放射肿瘤学家参考各自的融合造影 CT 图像，从 6 名患者的非造影 CT 图像中手动独立地描绘出 15 个心脏亚结构。每个结构的单独轮廓融合在一起，由 2 名医生编辑，并成为描绘其他 6 名患者的地图集。另外 6 名患者的自动描绘轮廓成为手动轮廓绘制的模板。这 12 名轮廓清晰的患者组成了多图谱分割的最终图谱。手动绘制 15 个心脏亚结构轮廓的平均时间约为 40 分钟。与 CT 图像中无法清晰区分的其他结构相比，心脏、心室和主动脉的观察者间变异性较小。自动分割轮廓的平均 Dice 相似系数和平均表面距离在专家轮廓变异性的一个标准偏差范围内。对于心脏、心室和大血管，观察到自动分割轮廓与手动轮廓之间具有良好的一致性。对其他 19 名患者的独立验证表明，心室的情况相当一致。创建了一组心脏图谱，用于根据非造影 CT 图像进行自动轮廓绘制。心脏、心室和大血管自动轮廓的准确性经过验证，可用于潜在的临床应用。
To develop and validate a set of atlases for auto-contouring cardiac substructures. Eight radiation oncologists manually and independently delineated 15 cardiac substructures from noncontrast CT images of 6 patients by referring to their respective fused contrast CT images. Individual contours were fused together for each structure, edited by 2 physicians, and became atlases to delineate other 6 patients. The auto-delineated contours of the 6 additional patients became templates for manual contouring. These 12 patients with well-defined contours composed the final atlases for multi-atlas segmentation. The average time for manually contouring the 15 cardiac substructures was about 40 minutes. Inter-observer variability was small for the heart, the chambers, and the aorta compared with that for other structures that were not clearly distinguishable in CT images. The mean Dice similarity coefficient and mean surface distance of auto-segmented contours were within one standard deviation of expert contouring variability. Good agreement between auto-segmented and manual contours was observed for the heart, the chambers, and the great vessels. Independent validation on other 19 patients showed reasonable agreement for the heart chambers. A set of cardiac atlases was created for auto-contouring from noncontrast CT images. The accuracy of auto-contouring for the heart, chambers, and great vessels was validated for potential clinical use.