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Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes

Abstract:

The great potential of computational diffusion MRI (dMRI) relies on indirect inference of tissue microstructure and brain connections, since modelling and tractography frameworks map diffusion measurements to neuroanatomical features. This mapping however can be computationally highly expensive, particularly given the trend of increasing dataset sizes and the complexity in biophysical modelling. Limitations on computing resources can restrict data exploration and methodology development. A st...

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Publication status:
Publshed
Peer review status:
Peer reviewed
Version:
Publisher's Version

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Publisher copy:
10.1016/j.neuroimage.2018.12.015

Authors


Hernandez-Fernandez, M More by this author
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Oxford college:
St Hughs College
ORCID:
0000-0002-5445-3721
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurology
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Publisher:
Elsevier Publisher's website
Journal:
NeuroImage Journal website
Volume:
188
Pages:
598-615
Publication date:
2018-12-08
Acceptance date:
2018-12-07
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
Pubs id:
pubs:951050
URN:
uri:14937477-a3e6-4b9b-95df-2975a1875fa5
UUID:
uuid:14937477-a3e6-4b9b-95df-2975a1875fa5
Local pid:
pubs:951050

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