解剖学报

›› 2012, Vol. 43 ›› Issue (2): 225-231.doi: 10.3969/j.issn.0529-1356. 2012.02.014

• 解剖学 • 上一篇    下一篇

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

陈艳玲1,3; 陈碧娟1,3; 李文生1,2,3*   

  1. 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
  • 收稿日期:2011-09-29 修回日期:2011-11-09 出版日期:2012-04-06
  • 通讯作者: 李文生

Construction of a voxel-based probabilistic diffusion tensor image brain atlas for normal Chinese adults

  1. 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
  • Received:2011-09-29 Revised:2011-11-09 Online:2012-04-06
  • Contact: LI Wen-sheng

关键词: 图谱, 弥散张量成像, 数字解剖, 脑白质, 人

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. BR>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. BR>

Key words: Atlas, Diffusion tensor image, Digital anatomy, Brain white matter, Human

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