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Prospective acceleration of diffusion tensor imaging with compressed sensing using adaptive dictionaries

Abstract:

Purpose: Diffusion MRI requires acquisition of multiple diffusion‐weighted images, resulting in long scan times. Here, we investigate combining compressed sensing and a fast imaging sequence to dramatically reduce acquisition times in cardiac diffusion MRI.

Methods: Fully sampled and prospectively undersampled diffusion tensor imaging data were acquired in five rat hearts at acceleration factors of between two and six using a fast spin ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/mrm.25876

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0001-8139-3480
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
RDM
Oxford college:
St Catherine's College
Role:
Author
More from this funder
Name:
Engineering and Physical Sciences Research Council
Grant:
EP/J013250/1
More from this funder
Name:
Wellcome Trust
Grant:
090532/Z/09/Z
More from this funder
Name:
Engineering & Physical Sciences Research Council
Grant:
EP/J013250/1
More from this funder
Name:
British Heart Foundation
Grant:
FS/11/50/29038
NH/13/1/30238
PG/13/33/30210
RG/13/8/30266
Publisher:
Wiley
Journal:
Magnetic Resonance in Medicine More from this journal
Volume:
76
Issue:
1
Pages:
248-258
Publication date:
2015-08-24
Acceptance date:
2015-07-16
DOI:
EISSN:
1522-2594
ISSN:
0740-3194
Pmid:
26302363
Language:
English
Keywords:
Pubs id:
pubs:541543
UUID:
uuid:a803b566-231e-47aa-9bec-a86396d75a0c
Local pid:
pubs:541543
Source identifiers:
541543
Deposit date:
2019-05-03

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