Motion Detection in Diffusion MRI via Online ODF Estimation

Emmanuel Caruyer 1 Iman Aganj 2, 3 Christophe Lenglet 4 Guillermo Sapiro 5 Rachid Deriche 1
1 ATHENA - Computational Imaging of the Central Nervous System
CRISAM - Inria Sophia Antipolis - Méditerranée
2 LIDS - Laboratory for Information and Decision Systems - Massachusetts Institute of Technology
3 Athinoula A. Martinos Center for Biomedical Imaging
4 CMRR - Center for Magnetic Resonance Research [Minneapolis]
5 ECE - Department of Electrical and Computer Engineering [Durham]
Abstract : The acquisition of high angular resolution diffusion MRI is particularly long and subject motion can become an issue. The orientation distribution function (ODF) can be reconstructed online incrementally from diffusion-weighted MRI with a Kalman filtering framework. This online reconstruction provides real-time feedback throughout the acquisition process. In this article, the Kalman filter is first adapted to the reconstruction of the ODF in constant solid angle. Then, a method called STAR (STatistical Analysis of Residuals) is presented and applied to the online detection of motion in high angular resolution diffusion images. Compared to existing techniques, this method is image based and is built on top of a Kalman filter. Therefore, it introduces no additional scan time and does not require additional hardware. The performance of STAR is tested on simulated and real data and compared to the classical generalized likelihood ratio test. Successful detection of small motion is reported (rotation under 2°) with no delay and robustness to noise.
Keywords : Kalman Filter ODF Orientation Distribution Function Diffusion MRI Motion
Document type :
Journal articles
International Journal of Biomedical Imaging, Hindawi Publishing Corporation, 2013, 2013 (Article ID 84936), pp.1-8. 〈10.1155/2013/849363〉
Liste complète des métadonnées
https://hal.archives-ouvertes.fr/hal-00798582
Contributor : Rachid Deriche <>
Submitted on : Friday, March 8, 2013 - 7:02:51 PM
Last modification on : Tuesday, January 30, 2018 - 2:50:20 PM

Links full text

openaccess

Identifiers

Collections

INRIA | UNIV-COTEDAZUR

Citation

Emmanuel Caruyer, Iman Aganj, Christophe Lenglet, Guillermo Sapiro, Rachid Deriche. Motion Detection in Diffusion MRI via Online ODF Estimation. International Journal of Biomedical Imaging, Hindawi Publishing Corporation, 2013, 2013 (Article ID 84936), pp.1-8. 〈10.1155/2013/849363〉. 〈hal-00798582〉

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

289

Contact


archive-ouverte@inria.fr