Fibertract segmentation in position orientation space from high angular resolution diffusion MRI

Détails

ID Serval
serval:BIB_277FFE75DC41
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Fibertract segmentation in position orientation space from high angular resolution diffusion MRI
Périodique
Neuroimage
Auteur(s)
Hagmann  P., Jonasson  L., Deffieux  T., Meuli  R., Thiran  J. P., Wedeen  V. J.
ISSN
1053-8119
Statut éditorial
Publié
Date de publication
08/2006
Peer-reviewed
Oui
Volume
32
Numéro
2
Pages
665-75
Notes
Journal Article
Research Support, Non-U.S. Gov't --- Old month value: Aug 15
Résumé
In diffusion MRI, standard approaches for fibertract identification are based on algorithms that generate lines of coherent diffusion, currently known as tractography. A tract is then identified as a set of such lines selected on some criteria. In the present study, we investigate whether fibertract identification can be formulated as a segmentation task that recognizes a fibertract as a region where diffusion is intense and coherent. Indeed, we show that it is possible to segment efficiently well-known fibertracts with classical image processing methods provided that the problem is formulated in a five-dimensional space of position and orientation. As an example, we choose to adapt to this newly defined high-dimensional non-Euclidean space, called position orientation space, an algorithm based on the hidden Markov random field framework. Structures such as the cerebellar peduncles, corticospinal tract, association bundles can be identified and represented in three dimensions by a back projection technique similar to maximum intensity projection. Potential advantages and drawbacks as compared to classical tractography are discussed; for example, it appears that our formulation handles naturally crossing tracts and is not biased by human intervention.
Mots-clé
*Algorithms Brain/*anatomy & histology Brain Mapping Brain Stem/anatomy & histology Diffusion Magnetic Resonance Imaging/*methods Dominance, Cerebral/physiology Fourier Analysis Humans Image Processing, Computer-Assisted/methods Imaging, Three-Dimensional/*methods Markov Chains Mathematical Computing Nerve Fibers/*ultrasonography Neural Pathways/*anatomy & histology *Software
Pubmed
Web of science
Création de la notice
08/04/2008 15:48
Dernière modification de la notice
20/08/2019 14:06
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