Online motion detection in high angular resolution diffusion imaging

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. © 2011 IEEE.

Full Text

Duke Authors

Cited Authors

  • Caruyer, E; Aganj, I; Lenglet, C; Sapiro, G; Deriche, R

Published Date

  • 2011

Published In

Start / End Page

  • 516 - 519

International Standard Serial Number (ISSN)

  • 1945-7928

Digital Object Identifier (DOI)

  • 10.1109/ISBI.2011.5872458

Citation Source

  • SciVal