Acceleration of high angular and spatial resolution diffusion imaging using compressed sensing

Published

Journal Article

Achieving simultaneously high angular and spatial resolution in diffusion imaging is challenging because of the long acquisition times involved. We propose a novel compressed sensing method to acquire high angular and spatial resolution diffusion imaging data, while keeping the scan time reasonable. We show that joint under sampling of 6-D k-q space is more efficient than undersampling only one of the dimensions. We use a sparse Gaussian mixture model and an iterative reconstruction scheme to recover the peaks of the orientation distribution functions (ODF) with high accuracy. We show that at least 6-fold acceleration of acquisition is possible, thereby enabling high angular and spatial resolution diffusion imaging in a reasonable scan time. © 2012 IEEE.

Full Text

Duke Authors

Cited Authors

  • Mani, M; Jacob, M; Guidon, A; Liu, C; Song, A; Magnotta, V; Zhong, J

Published Date

  • August 15, 2012

Published In

Start / End Page

  • 326 - 329

Electronic International Standard Serial Number (EISSN)

  • 1945-8452

International Standard Serial Number (ISSN)

  • 1945-7928

Digital Object Identifier (DOI)

  • 10.1109/ISBI.2012.6235550

Citation Source

  • Scopus