Image-based modelling of skeletal muscle oxygenation
Image-based modelling of skeletal muscle oxygenation
The supply of oxygen in sufficient quantity is vital for the correct functioning of all organs in the human body, in particular for skeletal muscle during exercise. Disease is often associated with both an inhibition of the microvascular supply capability and is thought to relate to changes in the structure of blood vessel networks. Different methods exist to investigate the influence of the microvascular structure on tissue oxygenation, varying over a range of application areas, i.e., biological in vivo and in vitro experiments, imaging and mathematical modelling. Ideally, all of these methods should be combined within the same framework in order to fully understand the processes involved. This review discusses the mathematical models of skeletal muscle oxygenation currently available that are based upon images taken of the muscle microvasculature in vivo and ex vivo. Imaging systems suitable for capturing the blood vessel networks are discussed and respective contrasting methods presented. The review further informs the association between anatomical characteristics in health and disease. With this review we give the reader a tool to understand and establish the workflow of developing an image-based model of skeletal muscle oxygenation. Finally, we give an outlook for improvements needed for measurements and imaging techniques to adequately investigate the microvascular capability for oxygen exchange.
skeletal muscle, vasculature, oxygenation, imaging, image-based modelling, computational modelling
Zeller-Plumhoff, Berit
1a9d6525-3f1f-4a0b-89ba-e5042ceb37f4
Roose, Tiina
3581ab5b-71e1-4897-8d88-59f13f3bccfe
Clough, Geraldine
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Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
February 2017
Zeller-Plumhoff, Berit
1a9d6525-3f1f-4a0b-89ba-e5042ceb37f4
Roose, Tiina
3581ab5b-71e1-4897-8d88-59f13f3bccfe
Clough, Geraldine
9f19639e-a929-4976-ac35-259f9011c494
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
Zeller-Plumhoff, Berit, Roose, Tiina, Clough, Geraldine and Schneider, Philipp
(2017)
Image-based modelling of skeletal muscle oxygenation.
Journal of the Royal Society Interface, 14 (127), [20160992].
(doi:10.1098/rsif.2016.0992).
Abstract
The supply of oxygen in sufficient quantity is vital for the correct functioning of all organs in the human body, in particular for skeletal muscle during exercise. Disease is often associated with both an inhibition of the microvascular supply capability and is thought to relate to changes in the structure of blood vessel networks. Different methods exist to investigate the influence of the microvascular structure on tissue oxygenation, varying over a range of application areas, i.e., biological in vivo and in vitro experiments, imaging and mathematical modelling. Ideally, all of these methods should be combined within the same framework in order to fully understand the processes involved. This review discusses the mathematical models of skeletal muscle oxygenation currently available that are based upon images taken of the muscle microvasculature in vivo and ex vivo. Imaging systems suitable for capturing the blood vessel networks are discussed and respective contrasting methods presented. The review further informs the association between anatomical characteristics in health and disease. With this review we give the reader a tool to understand and establish the workflow of developing an image-based model of skeletal muscle oxygenation. Finally, we give an outlook for improvements needed for measurements and imaging techniques to adequately investigate the microvascular capability for oxygen exchange.
Text
Paper_Review_20170124.docx
- Accepted Manuscript
More information
Accepted/In Press date: 25 January 2017
e-pub ahead of print date: 1 February 2017
Published date: February 2017
Keywords:
skeletal muscle, vasculature, oxygenation, imaging, image-based modelling, computational modelling
Organisations:
Faculty of Medicine, Bioengineering Group
Identifiers
Local EPrints ID: 405561
URI: http://eprints.soton.ac.uk/id/eprint/405561
PURE UUID: 91f4e7ae-43bb-4659-9f7d-612327cecde0
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Date deposited: 07 Feb 2017 16:20
Last modified: 16 Mar 2024 04:17
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Author:
Berit Zeller-Plumhoff
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