Back to Search Start Over

Motion Detection in Diffusion MRI via Online ODF Estimation

Authors :
Emmanuel Caruyer
Iman Aganj
Christophe Lenglet
Guillermo Sapiro
Rachid Deriche
Source :
International Journal of Biomedical Imaging, Vol 2013 (2013)
Publication Year :
2013
Publisher :
Hindawi Limited, 2013.

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.

Details

Language :
English
ISSN :
16874188 and 16874196
Volume :
2013
Database :
Directory of Open Access Journals
Journal :
International Journal of Biomedical Imaging
Publication Type :
Academic Journal
Accession number :
edsdoj.462b7316da14498b3c252617b400458
Document Type :
article
Full Text :
https://doi.org/10.1155/2013/849363