| Impact of radial and angular sampling on multiple shells acquisition in diffusion MRI. | |
| | |
MedLine Citation:
|
PMID: 21995020 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
|
We evaluate the impact of radial and angular sampling on multiple shells (MS) acquisition in diffusion MRI. The validation of our results is based on a new and efficient method to accurately reconstruct the Ensemble Average Propagator (EAP) in term of the Spherical Polar Fourier (SPF) basis from very few diffusion weighted magnetic resonance images (DW-MRI). This approach nicely exploits the duality between SPF and a closely related basis in which one can respectively represent the EAP and the diffusion signal using the same coefficients. We efficiently combine this relation to the recent acquisition and reconstruction technique called Compressed Sensing (CS). Based on results of multi-tensors models reconstruction, we show how to construct a robust acquisition scheme for both neural fibre orientation detection and attenuation signal/EAP reconstruction. |
| | |
Authors:
|
Sylvain Merlet; Emmanuel Caruyer; Rachid Deriche |
Publication Detail:
|
Type: Journal Article |
Journal Detail:
|
Title: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Volume: 14 ISSN: - ISO Abbreviation: Med Image Comput Comput Assist Interv Publication Date: 2011 |
Date Detail:
|
Created Date: 2011-10-14 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 101249582 Medline TA: Med Image Comput Comput Assist Interv Country: Germany |
Other Details:
|
Languages: eng Pagination: 116-23 Citation Subset: IM |
Affiliation:
|
Athena Project-Team, INRIA Sophia Antipolis - Méditerranée, France. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Assessment of bias for MRI diffusion tensor imaging using SIMEX.
Next Document: Super-resolution in diffusion-weighted imaging.