北京生物医学工程

基于FreeSurfer面数据的网格点脑分区定位及其可视化

An anatomical localization and visualization method based on FreeSurfer surface data

作者：袁现坤李淑宇

单位：                                 北京航空航天大学生物与医学工程学院 (北京 100191)            

关键词： FreeSurfer；大脑皮质表面；解剖定位；可视化；MATLAB

分类号：

出版年·卷·期（页码）：2015·34·2（146-150）

摘要：

大脑形态学研究是目前生物医学工程领域一个活跃而重要的研究课题。脑

解剖区域的可视化定位在脑形态学研究中具有非常重要的作用。本文主要通过

解析FreeSurfer软件在MRI图像处理过程中产生的大脑皮质面数据，实现了一种

判定大脑皮质面数据网格点解剖区域的精确定位方法，并通过MATLAB软件对结

果进行了三维可视化，方便脑形态学研究人员应用。

Brain morphological study is currently an active and

important research area in biomedical engineering field. Accurate

localization of brain region plays an important role in brain

morphology study. With cortical surface data generated by FreeSurfer

software, we establish an anatomical localization and visualization

method in this paper. The cortical surface data and location results

are visualized through the MATLAB software to facilitate the

researchers’ application in brain morphology.

参考文献：

［1］朱鹏, 唐慧, 林毅兴, 等. 基于 PC 平台的三维立体医学可视化系统［J

］. 中国医疗器械杂志, 2007,31(1):10-13.
Zhu Peng, Tang Hui, Lin Yixing, et al. A PC-based 3D stereoscopic

medical visualization system［J］. Chinese Journal of Medical

lnstrumentation, 2007,31(1):10-13.
［2］鲍旭东, 张惠, 罗立民, 等. 仿真影像学综述［J］. 东南大学学报:自然

科学版, 2002,32(3):355-361.
Bao Xudong, Zhang Hui, Luo Limin, et al. Survey of virtual medicine［

J］. Journal of Southeast University: Natural Science Edition,

2002,32(3):355-361.
［3］Ecker C, Williams SC, Murphy DGM, et al. Describing the brain in

autism in five dimensions-magnetic resonance imaging-assisted

diagnosis of autism spectrum disorder using a multiparameter

classification approach［J］. The Journal of Neuroscience, 2010, 30

(32): 10612-10623.
［4］Long X, Zhang L, Liao W, et al. Distinct laterality alterations

distinguish mild cognitive impairment and Alzheimer's disease from

healthy aging: statistical parametric mapping with high resolution

MRI［J］. Human Brain Mapping.doi: 10.1002/hbm.22157, 2012.
［5］Whitwell J L, Scott A. Przybelski, Stephen D. Weigand, et al. 3D

maps from multiple MRI illustrate changing atrophy patterns as

subjects progress from mild cognitive impairment to Alzheimer's

disease［J］. Brain, 2007,130:1777-1786.
［6］Destrieux C, Fischl B, Dale A, et al. Automatic parcellation of

human cortical gyri and sulci using standard anatomical nomenclature

［J］. Neuroimage, 2010,53(1):1-15.
［7］唐慧. 医学体视化新方法研究及在肾脏术前计划系统中的应用［D］. 南

京：东南大学, 2008.
［8］Fischl B, Van Der Kouwe AE, Destrieux C, et al. Automatically

parcellating the human cerebral cortex［J］. Cerebral Cortex,

2004,14(1):11-22.
［9］Desikan RS, Gonne FSE , Fischl B, et al. An automated labeling

system for subdividing the human cerebral cortex on MRI scans into

gyral based regions of interest［J］. Neuroimage, 2006,31(3):968-980.

服务与反馈：

【文章下载】【加入收藏】

提示：您还未登录，请登录！点此登录