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基于体素的健康中国成人概率性弥散张量成像脑图谱的建立
引用本文:陈艳玲,陈碧娟,李文生.基于体素的健康中国成人概率性弥散张量成像脑图谱的建立[J].解剖学报,2012,43(2):225-231.
作者姓名:陈艳玲  陈碧娟  李文生
作者单位:1.复旦大学上海医学院数字医学研究中心; 2.人体解剖学与组织学胚胎学系,上海 200032; 3.上海市医学图像处理与计算机辅助手术重点实验室,上海 200032
基金项目:上海市医学图像处理与计算机辅助手术重点实验室课题资助项目
摘    要:目的 使用计算机医学图像处理技术在标准人脑空间建立基于体素的健康中国成人概率性弥散张量成像(DTI)脑图谱,以期为脑白质的功能研究和相关疾病的诊治提供基础信息。 方法 选择50例健康成年志愿者进行常规MRI扫描,确认未发现异常后,再行DTI扫描,获取相应图像数据。首先使用MRIcron软件包中的相关程序,将原始的DICOM数据格式转换为图像处理所需要的格式,然后运用DtiStudio和DiffeoMap软件,结合自动图像配准算法对DTI数据进行数据预处理、张量计算和图像归一化,最后在MATLAB中对图像进行平均计算,构建图谱。结果 成功构建出基于50例健康中国成人的概率性DTI脑图谱,图谱清晰。各向异性(FA)图和彩色编码图上均可见脑白质结构和纤维束走向,在彩色编码图上以特定颜色代表了不同纤维束的走行方向。结论 运用图像处理技术可以构建国人概率性DTI脑图谱。该图谱以通用数据格式保存,可被大部分医学图像处理软件及分析软件识别读取,能为研究脑白质正常结构功能及相关疾病服务。

关 键 词:图谱  弥散张量成像  数字解剖  脑白质  
收稿时间:2011-9-29
修稿时间:2011-11-9

Construction of a voxel-based probabilistic diffusion tensor image brain atlas for normal Chinese adults
CHEN Yan-ling , CHEN Bi-juan , LI Wen-sheng.Construction of a voxel-based probabilistic diffusion tensor image brain atlas for normal Chinese adults[J].Acta Anatomica Sinica,2012,43(2):225-231.
Authors:CHEN Yan-ling  CHEN Bi-juan  LI Wen-sheng
Institution:1.Digital Medical Research Center, Shanghai Medical College, Fudan University, Shanghai 200032, China; 2.Department of Human Anatomy and Histoembryology, Shanghai Medical College, Fudan University, Shanghai 200032, China; 3.Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai 200032, China
Abstract:Objective To construct a voxel-based probabilistic diffusion tensor image (DTI) brain atlas in a standard space using medical image processing techniques in order to provide basic data for the white matter function research and the diagnosis and treatment of related diseases.Methods DTI data from 50 normal volunteers were acquired after excluding the existence of neurological diseases. The DICOM data were converted into the needed data format using one of the procedures in MRIcron software package. DtiStudio, DiffeoMap and AIR software were used for pre-processing, tensor calculation and normalization of the images. Average calculation was performed and the atlas was constructed in MATLAB software platform. Results A general DTI brain atlas was successfully developed from the 50 healthy adults and the maps were very clear. The white matter and fiber orientation were seen clearly in FA images and in the color map with specific colors representing different fiber orientations. Conclusion Imaging processing techniques can be used to construct Chinese DTI probabilistic brain atlas. The maps are saved using a common data format and can be read by most medical image processing softwares and analysis softwares, thus may be used for the research and analysis of white matter function and related diseases conveniently.
Keywords:Atlas  Diffusion tensor image  Digital anatomy  Brain white matter  Human
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