Brain tissue swelling during ischaemia-reperfusion: 2D finite element analysis using poroelasticity

Brain vasogenic oedema is an injury that occurs after reperfusion treatment of ischaemic stroke patient. It can lead to brain tissue swelling consequently causing brain herniation that may affect brain functionality. In this paper, a mathematical model describing this injury are developed using capi...

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Main Authors: Mohd Jamil Mohamed, Mokhtarudin, Abbas, Shabudin, Payne, Stephen J.
Format: Conference or Workshop Item
Language:English
English
Published: 2018
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Online Access:http://umpir.ump.edu.my/id/eprint/22129/1/37.%20Brain%20tissue%20swelling%20during%20ischaemia-reperfusion%20-%202d.pdf
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spelling my.ump.umpir.221292019-07-17T06:34:47Z http://umpir.ump.edu.my/id/eprint/22129/ Brain tissue swelling during ischaemia-reperfusion: 2D finite element analysis using poroelasticity Mohd Jamil Mohamed, Mokhtarudin Abbas, Shabudin Payne, Stephen J. TJ Mechanical engineering and machinery Brain vasogenic oedema is an injury that occurs after reperfusion treatment of ischaemic stroke patient. It can lead to brain tissue swelling consequently causing brain herniation that may affect brain functionality. In this paper, a mathematical model describing this injury are developed using capillary filtration and poroelastic theory to represent oedema formation and brain tissue swelling, respectively. An ideal 2D representation of human brain is developed and the mathematical model of ischaemia-reperfusion injury is solved using finite element method. The size and location of the ischaemic stroke infarct are varied and the movement of the midline that divides the cerebrals is observed. The midline movement represents the level of herniation. Results show that herniation level increases especially for large infarct size and for infarct located nearer to the brain ventricle. Further validation of the model using MRI data and patient-specific representation is needed to estimate brain tissue swelling subsequently predict the effectiveness of ischaemic stroke treatment. 2018-04 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22129/1/37.%20Brain%20tissue%20swelling%20during%20ischaemia-reperfusion%20-%202d.pdf pdf en http://umpir.ump.edu.my/id/eprint/22129/2/37.1%20Brain%20tissue%20swelling%20during%20ischaemia-reperfusion%20-%202d.pdf Mohd Jamil Mohamed, Mokhtarudin and Abbas, Shabudin and Payne, Stephen J. (2018) Brain tissue swelling during ischaemia-reperfusion: 2D finite element analysis using poroelasticity. In: 4th International Conference On Science, Engineering and Environment, 12 -14 November 2018 , Meitetsu New Grand Hotel, Nagoya. pp. 1-6.. (Unpublished)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Mohd Jamil Mohamed, Mokhtarudin
Abbas, Shabudin
Payne, Stephen J.
Brain tissue swelling during ischaemia-reperfusion: 2D finite element analysis using poroelasticity
description Brain vasogenic oedema is an injury that occurs after reperfusion treatment of ischaemic stroke patient. It can lead to brain tissue swelling consequently causing brain herniation that may affect brain functionality. In this paper, a mathematical model describing this injury are developed using capillary filtration and poroelastic theory to represent oedema formation and brain tissue swelling, respectively. An ideal 2D representation of human brain is developed and the mathematical model of ischaemia-reperfusion injury is solved using finite element method. The size and location of the ischaemic stroke infarct are varied and the movement of the midline that divides the cerebrals is observed. The midline movement represents the level of herniation. Results show that herniation level increases especially for large infarct size and for infarct located nearer to the brain ventricle. Further validation of the model using MRI data and patient-specific representation is needed to estimate brain tissue swelling subsequently predict the effectiveness of ischaemic stroke treatment.
format Conference or Workshop Item
author Mohd Jamil Mohamed, Mokhtarudin
Abbas, Shabudin
Payne, Stephen J.
author_facet Mohd Jamil Mohamed, Mokhtarudin
Abbas, Shabudin
Payne, Stephen J.
author_sort Mohd Jamil Mohamed, Mokhtarudin
title Brain tissue swelling during ischaemia-reperfusion: 2D finite element analysis using poroelasticity
title_short Brain tissue swelling during ischaemia-reperfusion: 2D finite element analysis using poroelasticity
title_full Brain tissue swelling during ischaemia-reperfusion: 2D finite element analysis using poroelasticity
title_fullStr Brain tissue swelling during ischaemia-reperfusion: 2D finite element analysis using poroelasticity
title_full_unstemmed Brain tissue swelling during ischaemia-reperfusion: 2D finite element analysis using poroelasticity
title_sort brain tissue swelling during ischaemia-reperfusion: 2d finite element analysis using poroelasticity
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22129/1/37.%20Brain%20tissue%20swelling%20during%20ischaemia-reperfusion%20-%202d.pdf
http://umpir.ump.edu.my/id/eprint/22129/2/37.1%20Brain%20tissue%20swelling%20during%20ischaemia-reperfusion%20-%202d.pdf
http://umpir.ump.edu.my/id/eprint/22129/
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score 13.211869