Quantification of the shape of fiber tracts.
MAGN RESON MED
894 - 903.
The fiber tracts generated using diffusion MRI are usually simply displayed and assessed visually for a specific clinical or medical research purpose. This paper proposes computational techniques that can be used to study the shape of the tracts and make interindividual comparisons. These methods make use of fundamental geometric invariants, such as curvatures and torsions, or Fourier descriptors, together with the link of a pair of curves. Intersubject comparisons only require that the starting and ending points of the tracts can be defined and do not require point-by-point correspondences such as obtained using image registration. Principal component analysis-based shape analysis is also investigated. The invariants are tested on simulations and in vivo datasets, and the scale dependence and noise sensitivity of the measures are assessed. The potential for these techniques to be used in neuroscience research and clinical applications is demonstrated.
|Title:||Quantification of the shape of fiber tracts|
|Keywords:||fiber tracking, curvature, torsion, link, Fourier descriptor, principal component analysis, DIFFUSION-WEIGHTED MRI, HUMAN BRAIN, TENSOR MRI, ANISOTROPY, TRACKING, SPLINES, CONFORMATIONS, STRATEGIES, PATHWAYS, TISSUE|
|UCL classification:||UCL > School of Life and Medical Sciences
UCL > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > School of Life and Medical Sciences > Faculty of Medical Sciences > Medicine (Division of)
UCL > School of Life and Medical Sciences > Faculty of Medical Sciences > Medicine (Division of) > Metabolism and Experimental Therapeutics
UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Medical Physics and Bioengineering
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