Koch, Timo; Flemisch, Bernd; Helmig, Rainer; Wiest, Roland; Obrist, Dominik (2020). A multi-scale sub-voxel perfusion model to estimate diffusive capillary wall conductivity in multiple sclerosis lesions from perfusion MRI data. International Journal for Numerical Methods in Biomedical Engineering, 36(2), e3298. Wiley 10.1002/cnm.3298
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Koch_et_al-2020-International_Journal_for_Numerical_Methods_in_Biomedical_Engineering.pdf - Accepted Version Available under License Publisher holds Copyright. Download (6MB) | Preview |
We propose a new mathematical model to learn capillary leakage coefficients from dynamic susceptibility contrast MRI data. To this end, we derive an embedded mixed-dimension flow and transport model for brain tissue perfusion on a sub-voxel scale. This model is used to obtain the contrast agent concentration distribution in a single MRI voxel during a perfusion MRI sequence. We further present a magnetic resonance signal model for the considered sequence including a model for local susceptibility effects. This allows modeling MR signal-time curves that can be compared to clinical MRI data. The proposed model can be used as a forward model in the inverse modeling problem of inferring model parameters such as the diffusive capillary wall conductivity. Acute multiple sclerosis lesions are associated with a breach in the integrity of the blood brain barrier. Applying the model to perfusion MR data of a patient with acute multiple sclerosis lesions, we conclude that diffusive capillary wall conductivity is a good indicator for characterizing activity of lesions, even if other patient-specific model parameters are not well-known. This article is protected by copyright. All rights reserved.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology 10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Cardiovascular Engineering (CVE) |
UniBE Contributor: |
Wiest, Roland Gerhard Rudi, Obrist, Dominik |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
2040-7947 |
Publisher: |
Wiley |
Language: |
English |
Submitter: |
Martin Zbinden |
Date Deposited: |
21 Jan 2020 12:47 |
Last Modified: |
02 Mar 2023 23:32 |
Publisher DOI: |
10.1002/cnm.3298 |
PubMed ID: |
31883316 |
Uncontrolled Keywords: |
NMR signal brain tissue perfusion embedded mixed-dimension microcirculation modeling multiple sclerosis |
BORIS DOI: |
10.7892/boris.137837 |
URI: |
https://boris.unibe.ch/id/eprint/137837 |
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