Automatic segmentation of organs at risk for nasopharyngeal carcinoma with Smart Segmentation and MIM Atlas

葛迦, Ge Jia, 宁丽华, Ning Lihua, 严森祥, Y. Senxiang, 陆中杰, Luo Zhongjie
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Abstract

Objective To compare the accuracy of two automatic segmentation softwares (Smart Segmentation and MIM Atlas) in organs at risk (OARs) contouring for nasopharyngeal carcinoma (NPC). Methods Totally 55 NPC patients were retrospectively reviewed with manually contoured OARs on CT images, in which 30 cases were randomly selected to create a data base in the Smart Segmentation and MIM Atlas. The remaining 25 cases were automatically contoured with Smart Segmentation and MIM as test cases. The automatic contouring accuracies of two softwares were evaluated with Dice coefficient(DSC), Hausdorff distance(HD), and absolute volume difference(△V) using manual contours as a golden standard. Results The overall DSC, HD and △V of all organs contoured by MIM Atlas and Smart Segmentation were (0.79±0.13) vs. (0.62±0.24) (t=14.06, P<0.05), (5.50±3.84)mm vs.(8.38±4.88)mm (t=-11.40, P<0.05), and (1.52±2.46) cm3vs. (2.38±3.57) cm3 (t=-4.70, P<0.05), respectively. The average DSC of 11 organs (brain stem, optic chiasm, bilateral lens, bilateral optic nerve, bilateral eyeballs, bilateral parotid gland, spinal cord) delineated by MIM Atlas was statistically greater than that of Smart Segmentation (t=5.27, 4.41, 6.34, 5.70, 10.62, 7.45, 3.96, 4.26, 6.25, 5.42, 7.23, P<0.05). The average HD of 10 organs (brain stem, optic chiasm, bilateral lens, bilateral optic nerve, bilateral eyeballs, left parotid gland, spinal cord) delineated by MIM Atlas was statistically less than that of Smart Segmentation (t=-4.51, -4.49, -3.92, -3.45, -5.36, -5.56, -3.89, -3.90, -3.60, -3.68, P<0.05). The average △V of 6 organs (brain stem, optic chiasm, left len, bilateral optic nerve, right eyeball) delineated by MIM Atlas was statistically less than that of Smart Segmentation (t=-2.83, -3.39, -2.56, -2.27, -2.43, -2.51, P<0.05). Conclusions Both softwares have reasonable contouring accuracy for larger organs. The accuracy decreased with the decrease of organ volumes and blurred boundary. Generally, MIM Atlas′s performs better than Smart Segmentation does. Key words: Automatic contouring; Organs-at-risk segmentation; Atlas library; Nasopharyngeal carcinoma
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基于智能分割和MIM图谱的鼻咽癌危险器官自动分割
目的比较两种自动分割软件(Smart segmentation和MIM Atlas)在鼻咽癌危险器官(OARs)轮廓中的准确性。方法回顾性分析55例鼻咽癌患者的CT图像,随机选取30例,建立智能分割和MIM图谱数据库。剩余的25个用智能分割和MIM作为测试用例自动轮廓。以手工轮廓为黄金标准,用Dice系数(DSC)、Hausdorff距离(HD)和绝对体积差(△V)对两款软件的自动轮廓精度进行评价。结果MIM Atlas和Smart Segmentation绘制的各脏器DSC、HD、△V分别为(0.79±0.13)vs(0.62±0.24)(t=14.06, P<0.05)、(5.50±3.84)mm vs(8.38±4.88)mm (t=-11.40, P<0.05)、(1.52±2.46)cm3。(2.38±3.57)cm3 (t=-4.70, P<0.05)。MIM图谱所描绘的11个器官(脑干、视交叉、双侧晶状体、双侧视神经、双侧眼球、双侧腮腺、脊髓)的DSC均值显著高于Smart Segmentation (t=5.27、4.41、6.34、5.70、10.62、7.45、3.96、4.26、6.25、5.42、7.23,P<0.05)。MIM图谱所描绘的10个器官(脑干、视交叉、双侧晶体、双侧视神经、双侧眼球、左腮腺、脊髓)的平均HD低于Smart分割(t=-4.51、-4.49、-3.92、-3.45、-5.36、-5.56、-3.89、-3.90、-3.60、-3.68,P<0.05)。MIM Atlas划分的6个脏器(脑干、视交叉、左眼、双侧视神经、右眼球)的平均△V值小于Smart Segmentation (t=-2.83、-3.39、-2.56、-2.27、-2.43、-2.51,P<0.05)。结论两种软件对较大器官的轮廓精度均较好。准确度随器官体积的减小和边界的模糊而降低。一般来说,MIM Atlas的性能优于Smart Segmentation。关键词:自动轮廓;Organs-at-risk分割;阿特拉斯库;鼻咽癌
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来源期刊
中华放射医学与防护杂志
中华放射医学与防护杂志 Medicine-Radiology, Nuclear Medicine and Imaging
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0.60
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6377
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