Online Motion Detection in High Angular Resolution Diffusion Imaging

Abstract : The orientation distribution function (ODF) can be reconstructed online incrementally from diffusion-weighted MRI with a Kalman filtering framework. This online reconstruction can provide real-time feedback to the practitioner, especially appreciated for long acquisition protocols typical in Q-ball imaging. On top of the Kalman filter, we propose a method to evaluate online the reconstruction accuracy of the estimated ODF in constant solid angle. In addition, monitoring the residuals of the Kalman filter, we design, based on statistical tests, two algorithms for online detection of subject motion. The proposed techniques, tested on real and synthetic data under various experimental conditions, can detect rotation by angle less than 3°.
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https://hal.inria.fr/inria-00559904
Contributor : Emmanuel Caruyer <>
Submitted on : Tuesday, February 22, 2011 - 2:08:08 PM
Last modification on : Thursday, February 7, 2019 - 4:33:46 PM
Long-term archiving on : Saturday, December 3, 2016 - 5:28:15 PM

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Emmanuel Caruyer, Iman Aganj, Christophe Lenglet, Guillermo Sapiro, Rachid Deriche. Online Motion Detection in High Angular Resolution Diffusion Imaging. International Symposium on Biomedical Imaging: From Nano to Macro, Mar 2011, Chicago, United States. ⟨inria-00559904v2⟩

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