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通过在正常脑数据库上使用张量成像和纤维追踪技术进行空间归一化时保留扩散张量属性。

Preservation of diffusion tensor properties during spatial normalization by use of tensor imaging and fibre tracking on a normal brain database.

作者信息

Müller H-P, Unrath A, Ludolph A C, Kassubek J

机构信息

Department of Neurology, University of Ulm, Germany.

出版信息

Phys Med Biol. 2007 Mar 21;52(6):N99-109. doi: 10.1088/0031-9155/52/6/N01. Epub 2007 Feb 27.

Abstract

White matter connectivity in the human brain can be mapped by diffusion tensor magnetic resonance imaging (DTI). After reconstruction, the diffusion tensors, the diffusion amplitude and the diffusion direction can be displayed on a morphological background. Consequently, diffusion tensor fibre tracking can be applied as a non-invasive in vivo technique for the delineation and quantification of specific white matter pathways. The aim of this study was to show that normalization to the Montreal Neurological Institute (MNI) stereotaxic standard space preserves specific diffusion features. Therefore, techniques for tensor imaging and fibre tracking were applied to the normalized brains as well as to the group averaged brain data. A normalization step of individual data was included by registration to a scanner- and sequence-specific DTI template data set which was created from a normal database transformed to MNI space. The algorithms were tested and validated for a group of 13 healthy controls.

摘要

人类大脑中的白质连通性可通过扩散张量磁共振成像(DTI)进行映射。重建后,扩散张量、扩散幅度和扩散方向可显示在形态学背景上。因此,扩散张量纤维追踪可作为一种非侵入性的体内技术,用于描绘和量化特定的白质通路。本研究的目的是表明,归一化到蒙特利尔神经学研究所(MNI)立体定向标准空间可保留特定的扩散特征。因此,张量成像和纤维追踪技术被应用于归一化的大脑以及组平均脑数据。通过将个体数据注册到从转换为MNI空间的正常数据库创建的扫描仪和序列特定的DTI模板数据集,纳入了个体数据的归一化步骤。该算法在一组13名健康对照中进行了测试和验证。

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