Microstructure imaging from a dictionary of Monte Carlo signals: assessment on a rat model of Wallerian degeneration

Rensonnet, Gaëtan;Scherrer, Benoît;Warfield, Simon K.;Macq, Benoît;Taquet, Maxime
(2017) International Society for Magnetic Resonance in Medicine — Location: Honolulu, HI, USA (23.April.2017)

Files

ISMRM2017_abstract_final-version.pdf
  • Open Access
  • Adobe PDF
  • 1.18 MB
Download

Details

Authors
  • Rensonnet, Gaëtanorcid-logoUCLouvain
    Author
  • Scherrer, BenoîtHarvard Medical School, Boston Children's Hospital
    Author
  • Warfield, Simon K.Harvard Medical School, Boston Children's Hospital
    Author
  • Macq, Benoîtorcid-logoUCLouvain
    Author
  • Taquet, MaximeUCLouvain
    Author
Abstract
We estimate microstructural features of the nervous tissues from diffusion-weighted MRI by using sparse optimization techniques on a dictionary of pre-computed Monte Carlo signals that faithfully describe the complex diffusion process in the extra-axonal space of the white matter. The method is validated on synthetic data including crossing fibers and on an in vivo rat spinal cord model of Wallerian degeneration. We obtain in vivo microstructural estimates that can be directly related to histological evidence whereas the traditional closed-form formula models DIAMOND and NODDI yield results that are more challenging to interpret physically.
Affiliations

Citations

  • APA
  • Chicago
  • FWB

Rensonnet, G., Scherrer, B., Warfield, S. K., Macq, B., & Taquet, M. (2017). Microstructure imaging from a dictionary of Monte Carlo signals: assessment on a rat model of Wallerian degeneration. International Society for Magnetic Resonance in Medicine, Honolulu, HI, USA. https://hdl.handle.net/2078.5/227182