摘要
目的海马体是学习和记忆的神经生物基础,是头颈部放射治疗中需要重点保护的颅内危及器官。海马体轮廓通常由医生手动勾画,操作时间长且依赖医生经验。为提高海马体勾画的效率和可重复性,本文研发了一种海马体自动勾画平台(OAR AutoSketch),系统比较了基于中国人或欧美人大脑图谱配准的分割方法(scbt_Linear、scbt_Nonlinear、TT_linear、TT_Nonlinear),以及基于皮层配准的分割方法(FreeSurfer)用于海马体勾画的可行性。方法选取12名鼻咽癌患者的数据,采用OAR AutoSketch生成5种海马体轮廓和患者主治医生勾画的海马体轮廓混合呈现,招募12名医学影像部的医生进行随机双盲的主观准确性评分;邀请1名影像科专家在20名鼻咽癌患者的MRI图像上手动勾画海马体,作为海马体解剖标准,计算5种自动勾画方案的客观准确性。结果主观准确性评分结果显示,自动勾画的准确性普遍优于主治医生的手工勾画结果。和海马体解剖标准的空间相似性结果显示,FreeSurfer方法准确度最高。结论海马体的自动勾画具备一定的可行性,皮层配准算法总体优于基于图谱的配准算法。
Objective The hippocampus,the neurobiological basis of learning and memory,is a crucial organ-at-risk that needs to be protected during head and neck radiotherapy.Hippocampus is often contoured manually by doctors,which is laborious and expertise-dependent.To improve the efficiency and replicability in hippocampus contouring,we develop the OAR AutoSketch and systematically compared the segmentation technique based on Chinese or English brain atlas-based registration(scbt_Linear,scbt_Nonlinear,TT_Linear,TT_Nonlinear)and the segmentation technique based on surface-based registration(FreeSurfer).Methods Image data of twelve patients of nasopharyngeal carcinoma were employed.The OAR AutoSketch was used to produce five solutions of hippocampus contouring,which was intermixed with the manual contouring solution by the doctor of the patient.To quantify subjective evaluation,twelve doctors from radiology and radiation oncology departments attended a randomized and double-blinded experiment that subjectively rated the contouring accuracy.With a sample of twenty nasopharyngeal carcinomas,the spatial similarity between the contouring solution from the automatic contouring solutions and the anatomical definition of the hippocampus from a radiology expert was computed.Results The subjective rating showed a general superiority of automatic contouring solutions over manual contouring.The analysis of spatial similarity with anatomical definition indicated that the FreeSurfer method was the most accurate among the five kinds of solutions.Conclusions Automatic hippocampus contouring was a feasible alternative to manual hippocampus contouring.The segmentation technique based on surface-based registration outperformed the atlas-based registration method in general.
作者
符豪
张政霖
伏晓
周燕飞
王腾飞
胡宗涛
王宏志
杨立状
李海
FU Hao;ZHANG Zhenglin;FU Xiao;ZHOU Yanfei;WANG Tengfei;HU Zongtao;WANG Hongzhi;YANG Lizhuang;LI Hai(Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031;University of Science and Technology of China, Hefei 230026;Cancer Hospital,Chinese Academy of Sciences,Hefei,Hefei 230031)
出处
《北京生物医学工程》
2020年第4期331-336,共6页
Beijing Biomedical Engineering
基金
安徽省重点研究和开发计划(201904a7020104)
安徽省“外专百人计划”(ZR201801020002)
中国科学院合肥肿瘤医院院长基金(YZJJ2019C14,YZJJ2019A04)资助。
关键词
海马体
放射性脑损伤
危及器官
自动勾画
图像配准
hippocampus
radiation-induced brain injury
organ at risk
automatic contouring
image registration
