Statistically-based reorientation of diffusion tensor field
نویسندگان
چکیده
This paper presents a new method for warping of diffusion tensor fields. The proper reorientation of a tensor field requires knowledge of the underlying fiber orientation, which is not known a priori. Accordingly, a probabilistic representation of the fiber direction is adopted and used in a Procrustean estimation of the rotational component of the warping field. The estimated rotational component, along with the warping field, are then used to warp and properly reorient a tensor field. Results from diffusion tensor MR images demonstrate a dramatic improvement of signal to noise ratio after statistical averaging of properly registered tensor fields across 9 individuals.
منابع مشابه
An Approach To Tensor Fields Reorientation Based On Optimized Neighborhood
Introduction Diffusion tensor imaging (DTI) is a potentially powerful way to map white matter fibers in vivo and study effects of development, aging and diseases on specific white matter tracts of interest. However, the clinical utility of DTI is currently limited. Jointly examining diffusion tensor images from many individuals can statistically characterize the complex white matter architectur...
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 کاملA Variational Approach to the Registration of Tensor-Valued Images
We present a variational framework for the registration of tensorvalued images. It is based on an energy functional with four terms: a data term based on a diffusion tensor constancy constraint, a compatibility term encoding the physical model linking domain deformations and tensor reorientation, and smoothness terms for deformation and tensor reorientation. Although the tensor deformation mode...
متن کاملAffine Coregistration of Diffusion Tensor Magnetic Resonance Images Using Mutual Information
In this paper, we present an affine image coregistration technique for Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) data sets based on mutual information. The technique is based on a multichannel approach where the diffusion weighted images are aligned according to the corresponding acquisition gradient directions. Also, in addition to the coregistration of the DT-MRI data sets, an appr...
متن کاملSpatial Normalization of Diffusion Tensor Images Based on Anisotropic Segmentation
A comprehensive framework is proposed for the spatial normalization of diffusion tensor (DT) brain images using tensor-derived tissue attributes. In this framework, the brain tissues are first classified into three categories: the white matter (WM), the gray matter (GM), and the cerebral-spinal fluid (CSF) using the anisotropy and diffusivity information derived from the full tensor. The tissue...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002