Diffusion MRI abnormalities detection with orientation distribution functions: A multiple sclerosis longitudinal study

Olivier Commowick 1 Adil Maarouf 2 Jean-Christophe Ferré 1, 3 Jean-Philippe Ranjeva 4 Gilles Edan 5, 3 Christian Barillot 1
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
2 Service de neurologie [Reims]
3 Service de radiologie et imagerie médicale [Rennes]
4 CRMBM - Centre de résonance magnétique biologique et médicale
5 CIC - Centre d'Investigation Clinique [Rennes]
Abstract : We propose a new algorithm for the voxelwise analysis of orientation distribution functions between one image and a group of reference images. It relies on a generic framework for the comparison of diffusion probabilities on the sphere, sampled from the underlying models. We demonstrate that this method, combined to dimensionality reduction through a principal component analysis, allows for more robust detection of lesions on simulated data when compared to classical tensor-based analysis. We then demonstrate the efficiency of this pipeline on the longitudinal comparison of multiple sclerosis patients at an early stage of the disease: right after their first clinically isolated syndrome (CIS) and three months later. We demonstrate the pre-dictive value of ODF-based scores for the early detection of lesions that will appear or heal.
Keywords : patient to controls comparison Orientation distribution functions Diffusion MRI
Document type :
Journal articles
Complete list of metadatas

Cited literature [26 references]  Display  Hide  Download
https://www.hal.inserm.fr/inserm-01134107
Contributor : Olivier Commowick <>
Submitted on : Sunday, March 22, 2015 - 5:04:29 PM
Last modification on : Thursday, December 19, 2019 - 1:36:16 AM
Long-term archiving on: Monday, April 17, 2017 - 8:44:17 PM

File

Article_MS_ODF.pdf
Files produced by the author(s)

Identifiers

Collections

CNRS | UNIV-AMU | UNIV-RENNES1 | INRIA | CIC203 | CIC | BIOSIT | IRISA-D5 | INSTITUT-TELECOM | IRISA | UR1-UFR-SVE | UR1-UFR-ISTIC | CENTRALESUPELEC | UNIV-RENNES | CRMBM

Citation

Olivier Commowick, Adil Maarouf, Jean-Christophe Ferré, Jean-Philippe Ranjeva, Gilles Edan, et al.. Diffusion MRI abnormalities detection with orientation distribution functions: A multiple sclerosis longitudinal study. Medical Image Analysis, Elsevier, 2015, 22 (1), pp.114-123. ⟨10.1016/j.media.2015.02.005⟩. ⟨inserm-01134107⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

771

Files downloads

718

Contact

Informations

CCSD