Online orientation distribution function reconstruction in constant solid angle and its application to motion detection in high angular resolution diffusion imaging

Emmanuel Caruyer 1 Iman Aganj 2 Christophe Lenglet 2 Guillermo Sapiro 2 Rachid Deriche 1
1 ODYSSEE - Computer and biological vision
DI-ENS - Département d'informatique de l'École normale supérieure, CRISAM - Inria Sophia Antipolis - Méditerranée , ENS Paris - École normale supérieure - Paris, Inria Paris-Rocquencourt, ENPC - École des Ponts ParisTech
2 ECE University of Minnesota - Department of Electrical and Computer Engineering - University of Minnesota
Abstract : The diffusion orientation distribution function (ODF) can be reconstructed from q-ball imaging (QBI) to map the complex intravoxel structure of water diffusion. As acquisition time is particularly large for high angular resolution diffusion imaging (HARDI), fast estimation algorithms have recently been proposed, as an on-line feedback on the reconstruction accuracy. Thus the acquisition could be stopped or continued on demand. We adapt these real-time algorithms to the mathematically correct definition of ODF in constant solid angle (CSA), and develop a motion detection algorithm upon this reconstruction. Results of improved fiber crossing detection by CSA ODF are shown, and motion detection was implemented and tested in vivo.
Keywords : On-line model estimation high angular resolution diffusion imaging (hardi) q-ball imaging (qbi) orientation distribution function (odf) motion estimation
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Rapport
[Research Report] RR-7102, INRIA. 2009, pp.12
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Contributeur : Emmanuel Caruyer <>
Soumis le : mardi 17 novembre 2009 - 16:55:17
Dernière modification le : mercredi 28 septembre 2016 - 16:18:08
Document(s) archivé(s) le : mardi 16 octobre 2012 - 14:20:22

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Emmanuel Caruyer, Iman Aganj, Christophe Lenglet, Guillermo Sapiro, Rachid Deriche. Online orientation distribution function reconstruction in constant solid angle and its application to motion detection in high angular resolution diffusion imaging. [Research Report] RR-7102, INRIA. 2009, pp.12. <inria-00432959>

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