Online orientation distribution function reconstruction in constant solid angle and its application to motion detection in HARDI

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.
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https://hal.inria.fr/inria-00559884
Contributor : Emmanuel Caruyer <>
Submitted on : Wednesday, January 26, 2011 - 4:32:16 PM
Last modification on : Thursday, February 7, 2019 - 4:15:54 PM
Long-term archiving on : Tuesday, November 6, 2012 - 12:25:58 PM

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Emmanuel Caruyer, Iman Aganj, Ryan Muetzel, Christophe Lenglet, Guillermo Sapiro, et al.. Online orientation distribution function reconstruction in constant solid angle and its application to motion detection in HARDI. International Symposium on Biomedical Imaging: From Nano to Macro, Apr 2010, Rotterdam, Netherlands. ⟨inria-00559884⟩

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