Online motion detection in high angular resolution diffusion imaging

• Published in: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro pp. 516 - 519
• Main Authors: Caruyer, Emmanuel, Aganj, Iman, Lenglet, Christophe, Sapiro, Guillermo, Deriche, Rachid
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2011
• Subjects: Covariance matrices; Delays; error propagation; Harmonic analysis; Image reconstruction; Imaging; Kalman filters; Motion detection; motion estimation; online model estimation; orientation distribution function (odf); Power harmonic filters; Q-ball imaging (qbi); Transforms; Vectors
• ISBN: 1424441277; 9781424441273
• ISSN: 1945-7928
• DOI: 10.1109/ISBI.2011.5872458

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°.