Quantification of the shape of fiber tracts

P G Batchelor; F Calamante; Jacques-Donald Tournier; D Atkinson; D L G Hill; A Connelly

doi:10.1002/mrm.20858

Quantification of the shape of fiber tracts

P G Batchelor, F Calamante, Jacques-Donald Tournier, D Atkinson, D L G Hill, A Connelly

Research output: Contribution to journal › Article › peer-review

61 Citations (Scopus)

Abstract

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.

Original language	English
Article number	N/A
Pages (from-to)	894 - 903
Number of pages	10
Journal	Magnetic Resonance in Medicine
Volume	55
Issue number	4
DOIs	https://doi.org/10.1002/mrm.20858
Publication status	Published - Apr 2006

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AU - Calamante, F

AU - Tournier, Jacques-Donald

AU - Atkinson, D

AU - Hill, D L G

AU - Connelly, A

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AB - 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.

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JF - Magnetic Resonance in Medicine

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Quantification of the shape of fiber tracts

Abstract

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