
The alignment of white matter structures is assessed using a novel scheme of computing distances between the corresponding fiber bundles derived from tractography.
MEDINRIA TRACTOGRAPHY DTI REGISTRATION
A comparison with affine registration for inter-subject normalization of 8 subjects shows that the proposed algorithm improves the alignment of several major white matter structures examined: the anterior thalamic radiations, the inferior fronto-occipital fasciculi, the corticospinal/corticobulbar tracts and the genu and the splenium of the corpus callosum. The optimal transformation is hierarchically refined in a subdivision framework. 3D Slicer, AFNI, BioImage Suite, BrainVoyager, Camino, Dipy, DoDTI, DTI-Query, DTI-TK, DTIStudio, ExploreDTI, Tracula, FSL-FDT, FSL-TBSS, JIST, MedINRIA. By explicitly optimizing tensor reorientation, the algorithm is designed to take advantage of similarity measures comparing tensors as a whole. The objective function is formulated in a way that allows explicit implementation of analytic derivatives to drive fast and accurate optimization using the conjugate gradient method. The image similarity enables explicit orientation optimization by incorporating tensor reorientation, which is necessary for warping diffusion tensor images. The objective function captures both the image similarity and the smoothness of the transformation across region boundaries. The optimization seeks a piecewise affine transformation that divides the image domain into uniform regions and transform each region affinely.

MEDINRIA TRACTOGRAPHY DTI FULL
Users should refer to the original published version of the material for the full abstract.In this paper, we present a novel deformable registration algorithm for diffusion tensor MR images that enables explicit optimization of tensor reorientation. No warranty is given about the accuracy of the copy. However, users may print, download, or email articles for individual use.
Tractography reconstruction of the conus medullaris of 12 patients were obtained using the MedINRIA software. In a preliminary work, spinal lipoma was chosen for analyzing the micro-architecture parameters and fiber morphology of the spinal cord by DTI with tractography.Methods: Twelve patients (0-8 years) related to spinal lipomas treated between May 2017 and March 2018 were included. One of the major challenges in dysraphism is to know the morphologic organization of the spinal cord.

Abstract: Purpose: Diffusion tensor imaging (DTI) allows studying the micro and macro architecture.
