scholarly journals An ITK Implementation of a Diffusion Tensor Images Resampling Filter

2012 ◽  
Author(s):  
Francois Budin ◽  
Sylvain Bouix ◽  
Martha Shenton ◽  
Martin Styner ◽  
Ipek Oguz
Keyword(s):  
Diffusion Tensor ◽  
Structural Information ◽  
Diffusion Tensor Images ◽  
Vector Images

This paper describes the implementation of a resampling filter for Diffusion Tensor Images (DTI) in the Insight ToolKit (ITK). ITK already contains a filter for resampling scalar and vector images as well as several transformation and interpolation classes. However, due to the directional nature of DT images, using the existing classes would result in losing the structural information of the image. We developed a new resampling filter, specific to DTI, that preserves the structure by applying a rotation directly on the tensors while performing the transformation of the image. New transformation and interpolator classes have also been implemented to handle tensors correctly. The new transformation classes are based on algorithms described by D.C. Alexander et al. Finally, three filters have been written to correct symmetric semi-definite matrices that would no longer be positive after the resampling process and project them into the tensors’ space. In addition, a software based on the new classes has been developed and is provided with this article.

scholarly journals Direct segmentation of the major white matter tracts in diffusion tensor images

NeuroImage ◽  
2011 ◽  
Vol 58 (2) ◽  
pp. 458-468 ◽  
Author(s):  
Pierre-Louis Bazin ◽  
Chuyang Ye ◽  
John A. Bogovic ◽  
Navid Shiee ◽  
Daniel S. Reich ◽  
...  
Keyword(s):  
White Matter ◽  
Diffusion Tensor ◽  
White Matter Tracts ◽  
Diffusion Tensor Images

scholarly journals Bayesian regularization of diffusion tensor images

Biostatistics ◽  
2006 ◽  
Vol 8 (4) ◽  
pp. 784-799 ◽  
Author(s):  
J. Frandsen ◽  
A. Hobolth ◽  
L. Ostergaard ◽  
P. Vestergaard-Poulsen ◽  
E. B. Vedel Jensen
Keyword(s):  
Diffusion Tensor ◽  
Bayesian Regularization ◽  
Diffusion Tensor Images

Altered brainstem anatomy in migraine

Cephalalgia ◽  
2017 ◽  
Vol 38 (3) ◽  
pp. 476-486 ◽  
Author(s):  
Kasia K Marciszewski ◽  
Noemi Meylakh ◽  
Flavia Di Pietro ◽  
Vaughan G Macefield ◽  
Paul M Macey ◽  
...  
Keyword(s):  
Grey Matter ◽  
Diffusion Tensor ◽  
Free Water ◽  
Trigeminal System ◽  
Grey Matter Volume ◽  
Matter Volume ◽  
Diffusion Weighted Images ◽  
Diffusion Tensor Images ◽  
And Diffusion ◽  
Brainstem Anatomy

Background The exact mechanisms responsible for migraine remain unknown, although it has been proposed that changes in brainstem anatomy and function, even between attacks, may contribute to the initiation and maintenance of headache during migraine attacks. The aim of this investigation is to use brainstem-specific analyses of anatomical and diffusion weighted images to determine if the trigeminal system displays altered structure in individuals with migraine. Methods Voxel-based morphometry of T1-weighted anatomical images (57 controls, 24 migraineurs) and diffusion tensor images (22 controls, 24 migraineurs) were used to assess brainstem anatomy in individuals with migraine compared with controls. Results We found grey matter volume decreases in migraineurs in the spinal trigeminal nucleus and dorsomedial pons. In addition, reduced grey matter volume and increased free water diffusivity occurred in areas of the descending pain modulatory system, including midbrain periaqueductal gray matter, dorsolateral pons, and medullary raphe. These changes were not correlated to migraine frequency, duration, intensity or time to next migraine. Conclusion Brainstem anatomy changes may underlie changes in activity that result in activation of the ascending trigeminal pathway and the perception of head pain during a migraine attack.

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