Spatial Normalization and Averaging of Diffusion Tensor MRI Data Sets
نویسندگان
چکیده
منابع مشابه
Spatial normalization and averaging of diffusion tensor MRI data sets.
Diffusion tensor magnetic resonance imaging (DT-MRI) is unique in providing information about both the structural integrity and the orientation of white matter fibers in vivo and, through "tractography", revealing the trajectories of white matter tracts. DT-MRI is therefore a promising technique for detecting differences in white matter architecture between different subject populations. Howeve...
متن کاملSpatial normalization of diffusion tensor MRI using multiple channels.
Diffusion Tensor MRI (DT-MRI) can provide important in vivo information for the detection of brain abnormalities in diseases characterized by compromised neural connectivity. To quantify diffusion tensor abnormalities based on voxel-based statistical analysis, spatial normalization is required to minimize the anatomical variability between studied brain structures. In this article, we used a mu...
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INTRODUCTION The accuracy and precision of a Diffusion tensor imaging (DTI) acquisition of in-vivo human brains depends on both the acquisition protocol [1] and post-processing used for data analysis. In many cases multiple acquisitions from the same session are averaged to increase signal-to-noise ratio and reduce sensitivity to motion during the acquisition. The complexity of DTI datasets all...
متن کاملSpatial normalization of diffusion tensor fields.
A method for the spatial normalization and reorientation of diffusion tensor (DT) fields is presented. Spatial normalization of tensor fields requires an appropriate reorientation of the tensor on each voxel, in addition to its relocation into the standardized space. This appropriate tensor reorientation is determined from the spatial normalization transformation and from an estimate of the und...
متن کاملSpatial normalization of diffusion models and tensor analysis
Diffusion tensor imaging provides the ability to study white matter connectivity and integrity noninvasively. The information contained in the diffusion tensors is very complex. Therefore a simple way of dealing with tensors is to compute rotationally invariant scalar quantities. These scalar indices have been used to perform population studies between controls and patients with neurological an...
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ژورنال
عنوان ژورنال: NeuroImage
سال: 2002
ISSN: 1053-8119
DOI: 10.1006/nimg.2002.1148