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Generation of histo-anatomically representative models of the individual heart: tools and application

Abstract:

This paper presents methods to build histo-anatomically detailed individualized cardiac models. The models are based on high-resolution three-dimensional anatomical and/or diffusion tensor magnetic resonance images, combined with serial histological sectioning data, and are used to investigate individualized cardiac function. The current state of the art is reviewed, and its limitations are discussed. We assess the challenges associated with the generation of histo-anatomically representative...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rsta.2009.0056

Authors


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Institution:
Institute of Biophysics, Medical University Graz
Research group:
Computational Biology Group
Department:
Mathematical,Physical & Life Sciences Division - E-Research Centre,Oxford
Role:
Author
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Institution:
University of Oxford
Division:
MSD
Department:
Physiology Anatomy & Genetics
Role:
Author
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Institution:
University of Oxford
Research group:
BHF Experimental MR Unit
Department:
Medical Sciences Division - Cardiovascular Medicine
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Research group:
Computational Biology Group
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Research group:
Computational Biology Group
Role:
Author
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Name:
British Heart Foundation
Funding agency for:
Kohl, P
Grant:
E003443
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Name:
Biotechnology and Biological Sciences Research Council
Funding agency for:
Gavaghan, D
Kohl, P
Schneider, J
Grant:
E003443
E003443
E003443
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Name:
Research Councils UK
Funding agency for:
Grau, V
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Name:
Medical Research Council
Funding agency for:
Rodriguez, B
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Name:
Microsoft
Funding agency for:
Mansoori, T
Publisher:
Royal Society
Journal:
Philosophical Transactions of the Royal Society A More from this journal
Volume:
367
Issue:
1896
Pages:
2257-2292
Publication date:
2009-06-01
DOI:
EISSN:
1471-2962
Language:
English
Keywords:
Subjects:
UUID:
uuid:f65fc5e1-9446-43f4-ba74-8be840ff2343
Local pid:
ora:3163
Deposit date:
2009-12-16

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