scholarly journals Test-retest reliability of high angular resolution diffusion imaging acquisition within medial temporal lobe connections assessed via tract based spatial statistics, probabilistic tractography and a novel graph theory metric

2015 ◽  
Vol 10 (2) ◽  
pp. 533-547 ◽  
Author(s):  
T. Kuhn ◽  
J. M. Gullett ◽  
P. Nguyen ◽  
A. E. Boutzoukas ◽  
A. Ford ◽  
...  
Keyword(s):  
Graph Theory ◽  
Spatial Statistics ◽  
Temporal Lobe ◽  
Medial Temporal Lobe ◽  
Angular Resolution ◽  
Diffusion Imaging ◽  
High Angular Resolution ◽  
Probabilistic Tractography ◽  
Retest Reliability ◽  
Test Retest Reliability

Probabilistic tractography using high angular resolution diffusion imaging

NeuroImage ◽  
2000 ◽  
Vol 11 (5) ◽  
pp. S913 ◽  
Author(s):  
David S. Tuch ◽  
John W. Belliveau ◽  
Van J. Wedeen
Keyword(s):  
Angular Resolution ◽  
Diffusion Imaging ◽  
High Angular Resolution ◽  
Probabilistic Tractography

scholarly journals High Angular Resolution Diffusion Imaging Probabilistic Tractography of the Auditory Radiation

2013 ◽  
Vol 34 (8) ◽  
pp. 1573-1578 ◽  
Author(s):  
J.I. Berman ◽  
M.R. Lanza ◽  
L. Blaskey ◽  
J.C. Edgar ◽  
T.P.L. Roberts
Keyword(s):  
Angular Resolution ◽  
Diffusion Imaging ◽  
High Angular Resolution ◽  
Probabilistic Tractography

Inference of multiple fiber orientations in high angular resolution diffusion imaging

2005 ◽  
Vol 54 (6) ◽  
pp. 1480-1489 ◽  
Author(s):  
Tim Hosey ◽  
Guy Williams ◽  
Richard Ansorge
Keyword(s):  
Angular Resolution ◽  
Diffusion Imaging ◽  
High Angular Resolution

scholarly journals Computational Representation of White Matter Fiber Orientations

2013 ◽  
Vol 2013 ◽  
pp. 1-12
Author(s):  
Adelino R. Ferreira da Silva
Keyword(s):  
White Matter ◽  
Angular Resolution ◽  
Diffusion Imaging ◽  
Real Data ◽  
Orientation Distribution ◽  
Directional Data ◽  
High Angular Resolution ◽  
Clustering Data ◽  
Von Mises ◽  
Computational Representation

We present a new methodology based on directional data clustering to represent white matter fiber orientations in magnetic resonance analyses for high angular resolution diffusion imaging. A probabilistic methodology is proposed for estimating intravoxel principal fiber directions, based on clustering directional data arising from orientation distribution function (ODF) profiles. ODF reconstructions are used to estimate intravoxel fiber directions using mixtures of von Mises-Fisher distributions. The method focuses on clustering data on the unit sphere, where complexity arises from representing ODF profiles as directional data. The proposed method is validated on synthetic simulations, as well as on a real data experiment. Based on experiments, we show that by clustering profile data using mixtures of von Mises-Fisher distributions it is possible to estimate multiple fiber configurations in a more robust manner than currently used approaches, without recourse to regularization or sharpening procedures. The method holds promise to support robust tractographic methodologies and to build realistic models of white matter tracts in the human brain.

Sign in / Sign up

Export Citation Format

Share Document