白质
磁共振弥散成像
地图集(解剖学)
脑图谱
计算机科学
人工智能
模式识别(心理学)
计算机视觉
方向(向量空间)
磁共振成像
医学
数学
解剖
放射科
几何学
作者
Susumu Mori,Kenichi Oishi,Hangyi Jiang,Li Jiang,Xin Li,Kazi Akhter,Kegang Hua,Andréia V. Faria,Asif Mahmood,Roger P. Woods,Arthur W. Toga,G. Bruce Pike,Pedro Rosa‐Neto,Alan C. Evans,Jiangyang Zhang,Hao Huang,Michael I. Miller,Peter C.M. van Zijl,John C. Mazziotta
出处
期刊:NeuroImage
[Elsevier]
日期:2008-04-01
卷期号:40 (2): 570-582
被引量:1608
标识
DOI:10.1016/j.neuroimage.2007.12.035
摘要
Brain registration to a stereotaxic atlas is an effective way to report anatomic locations of interest and to perform anatomic quantification. However, existing stereotaxic atlases lack comprehensive coordinate information about white matter structures. In this paper, white matter-specific atlases in stereotaxic coordinates are introduced. As a reference template, the widely used ICBM-152 was used. The atlas contains fiber orientation maps and hand-segmented white matter parcellation maps based on diffusion tensor imaging (DTI). Registration accuracy by linear and non-linear transformation was measured, and automated template-based white matter parcellation was tested. The results showed a high correlation between the manual ROI-based and the automated approaches for normal adult populations. The atlases are freely available and believed to be a useful resource as a target template and for automated parcellation methods.
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