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Anomalous diffusion in cardiac tissue as an index of myocardial microstructure

Abstract:

Diffusion in biological tissues is known to be hindered by the structural complexity of the underlying medium. In the heart, improved characterisation on how this complexity influences acquired diffusion weighted signals is key to advancing our interpretation of diffusion magnetic resonance imaging, as well as to propose novel biomarkers to further characterise myocardial microstructure. In this work, we propose stretched Mittag–Leffler signal decay models for the quantification of the ano...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1109/TMI.2016.2548503

Authors


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Institution:
University of Oxford
Department:
Oxford, MPLS, Computer Science
Role:
Author
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Institution:
University of Oxford
Department:
Oxford, MSD
Role:
Author
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Institution:
University of Oxford
Department:
Oxford, MSD
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
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Funding agency for:
Schneider, JE
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Grant:
100246/Z/12/Z
090532/Z/09/Z
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Grant:
RE/13/1/30181
NH/13/30238
Publisher:
Institute of Electrical and Electronic Engineers Publisher's website
Journal:
IEEE Transactions on Medical Imaging Journal website
Volume:
35
Issue:
9
Pages:
2200 - 2207
Publication date:
2016-05-02
DOI:
EISSN:
1558-254X
ISSN:
0278-0062
URN:
uuid:4e777c1c-c6ef-41ff-b070-0088a3ef4e81
Source identifiers:
612130
Local pid:
pubs:612130

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