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

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. © 2010 IEEE.

Full Text

Duke Authors

Cited Authors

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

Published Date

  • 2010

Published In

  • 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Start / End Page

  • 812 - 815

Digital Object Identifier (DOI)

  • 10.1109/ISBI.2010.5490052

Citation Source

  • SciVal