Characterizing Structural Changes With Evolving Remyelination Following Experimental Demyelination Using High Angular Resolution Diffusion MRI and Texture Analysis

2018 ◽  
Vol 49 (6) ◽  
pp. 1750-1759 ◽  
Author(s):  
Tim Luo ◽  
Olayinka Oladosu ◽  
Khalil S. Rawji ◽  
Peng Zhai ◽  
Glen Pridham ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Diffusion Mri ◽  
Structural Changes ◽  
Angular Resolution ◽  
High Angular Resolution ◽  
Experimental Demyelination

scholarly journals Structural core of the executive control network: A high angular resolution diffusion MRI study

2019 ◽  
Vol 41 (5) ◽  
pp. 1226-1236 ◽  
Author(s):  
Kai‐kai Shen ◽  
Thomas Welton ◽  
Matthew Lyon ◽  
Andrew N. McCorkindale ◽  
Greg T. Sutherland ◽  
...  
Keyword(s):  
Executive Control ◽  
Diffusion Mri ◽  
Angular Resolution ◽  
High Angular Resolution ◽  
Control Network ◽  
Executive Control Network ◽  
Mri Study

scholarly journals Dimensionality Reduction of Diffusion MRI Measures for Improved Tractometry of the Human Brain

2019 ◽  
Author(s):  
Maxime Chamberland ◽  
Erika P. Raven ◽  
Sila Genc ◽  
Kate Duffy ◽  
Maxime Descoteaux ◽  
...  
Keyword(s):  
Diffusion Mri ◽  
Angular Resolution ◽  
Diffusion Tensor ◽  
Diffusion Imaging ◽  
High Angular Resolution ◽  
Typically Developing ◽  
Typically Developing Children ◽  
Tissue Microstructure ◽  
Age Related ◽  
Diffusion Tensor Imaging Dti

AbstractVarious diffusion MRI measures have been proposed for characterising tissue microstructure over the last 15 years. Despite the growing number of experiments using different diffusion measures in assessments of white matter, there has been limited work on: 1) examining their covariance along specific pathways; and on 2) combining these different measures to study tissue microstructure. In this work, we first demonstrate redundancies in the amount of information captured by 10 diffusion tensor imaging (DTI) and high angular resolution diffusion imaging (HARDI) measures. Using a data-reduction approach, we identified two biologically-interpretable components that capture 80% of the variance in commonly-used DTI and HARDI measures profiled along 22 brain pathways extracted from typically developing children aged 8 - 18 years (n = 36). The first derived component captures properties related to hindrance and restriction in tissue microstructure, while the second component reflects characteristics related to tissue complexity and orientational dispersion. We demonstrate that the components generated by this approach preserve the biological relevance of the original measurements by showing age-related effects across developmentally sensitive pathways. Our results also suggest that HARDI measures are more sensitive at detecting age-related changes in tissue microstructure than DTI measures.

Distance-based tractography in high angular resolution diffusion MRI

2011 ◽  
Vol 27 (6-8) ◽  
pp. 729-738 ◽  
Author(s):  
Diana Röttger ◽  
Viktor Seib ◽  
Stefan Müller
Keyword(s):  
Diffusion Mri ◽  
Angular Resolution ◽  
High Angular Resolution

scholarly journals Motion Detection in Diffusion MRI via Online ODF Estimation

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Emmanuel Caruyer ◽  
Iman Aganj ◽  
Christophe Lenglet ◽  
Guillermo Sapiro ◽  
Rachid Deriche
Keyword(s):  
Kalman Filter ◽  
Diffusion Mri ◽  
Angular Resolution ◽  
Real Data ◽  
Orientation Distribution ◽  
High Angular Resolution ◽  
Ratio Test ◽  
Small Motion ◽  
Scan Time ◽  
Robustness To Noise

The acquisition of high angular resolution diffusion MRI is particularly long and subject motion can become an issue. The orientation distribution function (ODF) can be reconstructed online incrementally from diffusion-weighted MRI with a Kalman filtering framework. This online reconstruction provides real-time feedback throughout the acquisition process. In this article, the Kalman filter is first adapted to the reconstruction of the ODF in constant solid angle. Then, a method called STAR (STatistical Analysis of Residuals) is presented and applied to the online detection of motion in high angular resolution diffusion images. Compared to existing techniques, this method is image based and is built on top of a Kalman filter. Therefore, it introduces no additional scan time and does not require additional hardware. The performance of STAR is tested on simulated and real data and compared to the classical generalized likelihood ratio test. Successful detection of small motion is reported (rotation under 2°) with no delay and robustness to noise.

Labeling of ambiguous subvoxel fibre bundle configurations in high angular resolution diffusion MRI

NeuroImage ◽  
2008 ◽  
Vol 41 (1) ◽  
pp. 58-68 ◽  
Author(s):  
Peter Savadjiev ◽  
Jennifer S.W. Campbell ◽  
Maxime Descoteaux ◽  
Rachid Deriche ◽  
G. Bruce Pike ◽  
...  
Keyword(s):  
Diffusion Mri ◽  
Angular Resolution ◽  
Fibre Bundle ◽  
High Angular Resolution
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