On the identification of hypoxic regions in subject-specific cerebral vasculature by combined CFD/MRI
A long-time exposure to lack of oxygen (hypoxia) in some regions of the cerebrovascular system is believed to be one of the causes of cerebral neurological diseases. In the present study, we show how a combination of magnetic resonance imaging (MRI) and computational fluid dynamics (CFD) can provide...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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The Royal Society
2023-01-01
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| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/10.1098/rsos.220645 |
| _version_ | 1797854789107712000 |
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| author | Romana Perinajová Pim van Ooij Saša Kenjereš |
| author_facet | Romana Perinajová Pim van Ooij Saša Kenjereš |
| author_sort | Romana Perinajová |
| collection | DOAJ |
| description | A long-time exposure to lack of oxygen (hypoxia) in some regions of the cerebrovascular system is believed to be one of the causes of cerebral neurological diseases. In the present study, we show how a combination of magnetic resonance imaging (MRI) and computational fluid dynamics (CFD) can provide a non-invasive alternative for studying blood flow and transport of oxygen within the cerebral vasculature. We perform computer simulations of oxygen mass transfer in the subject-specific geometry of the circle of Willis. The computational domain and boundary conditions are based on four-dimensional (4D)-flow MRI measurements. Two different oxygen mass transfer models are considered: passive (where oxygen is treated as a dilute chemical species in plasma) and active (where oxygen is bonded to haemoglobin) models. We show that neglecting haemoglobin transport results in a significant underestimation of the arterial wall mass transfer of oxygen. We identified the hypoxic regions along the arterial walls by introducing the critical thresholds that are obtained by comparison of the estimated range of Damköhler number (Da ⊂ 〈9; 57〉) with the local Sherwood number. Finally, we recommend additional validations of the combined MRI/CFD approach proposed here for larger groups of subject- or patient-specific brain vasculature systems. |
| first_indexed | 2024-04-09T20:12:57Z |
| format | Article |
| id | doaj.art-37b9afdef3084e0e9118c9a2cd00c1d0 |
| institution | Directory Open Access Journal |
| issn | 2054-5703 |
| language | English |
| last_indexed | 2024-04-09T20:12:57Z |
| publishDate | 2023-01-01 |
| publisher | The Royal Society |
| record_format | Article |
| series | Royal Society Open Science |
| spelling | doaj.art-37b9afdef3084e0e9118c9a2cd00c1d02023-03-31T14:19:58ZengThe Royal SocietyRoyal Society Open Science2054-57032023-01-0110110.1098/rsos.220645On the identification of hypoxic regions in subject-specific cerebral vasculature by combined CFD/MRIRomana Perinajová0Pim van Ooij1Saša Kenjereš2Department of Chemical Engineering, Delft University of Technology, Faculty of Applied Sciences, 2628 CD Delft, The NetherlandsDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location AMC, 1007 MB Amsterdam, The NetherlandsDepartment of Chemical Engineering, Delft University of Technology, Faculty of Applied Sciences, 2628 CD Delft, The NetherlandsA long-time exposure to lack of oxygen (hypoxia) in some regions of the cerebrovascular system is believed to be one of the causes of cerebral neurological diseases. In the present study, we show how a combination of magnetic resonance imaging (MRI) and computational fluid dynamics (CFD) can provide a non-invasive alternative for studying blood flow and transport of oxygen within the cerebral vasculature. We perform computer simulations of oxygen mass transfer in the subject-specific geometry of the circle of Willis. The computational domain and boundary conditions are based on four-dimensional (4D)-flow MRI measurements. Two different oxygen mass transfer models are considered: passive (where oxygen is treated as a dilute chemical species in plasma) and active (where oxygen is bonded to haemoglobin) models. We show that neglecting haemoglobin transport results in a significant underestimation of the arterial wall mass transfer of oxygen. We identified the hypoxic regions along the arterial walls by introducing the critical thresholds that are obtained by comparison of the estimated range of Damköhler number (Da ⊂ 〈9; 57〉) with the local Sherwood number. Finally, we recommend additional validations of the combined MRI/CFD approach proposed here for larger groups of subject- or patient-specific brain vasculature systems.https://royalsocietypublishing.org/doi/10.1098/rsos.220645CFDMRIoxygen transportAlzheimerhypoxiabrain |
| spellingShingle | Romana Perinajová Pim van Ooij Saša Kenjereš On the identification of hypoxic regions in subject-specific cerebral vasculature by combined CFD/MRI Royal Society Open Science CFD MRI oxygen transport Alzheimer hypoxia brain |
| title | On the identification of hypoxic regions in subject-specific cerebral vasculature by combined CFD/MRI |
| title_full | On the identification of hypoxic regions in subject-specific cerebral vasculature by combined CFD/MRI |
| title_fullStr | On the identification of hypoxic regions in subject-specific cerebral vasculature by combined CFD/MRI |
| title_full_unstemmed | On the identification of hypoxic regions in subject-specific cerebral vasculature by combined CFD/MRI |
| title_short | On the identification of hypoxic regions in subject-specific cerebral vasculature by combined CFD/MRI |
| title_sort | on the identification of hypoxic regions in subject specific cerebral vasculature by combined cfd mri |
| topic | CFD MRI oxygen transport Alzheimer hypoxia brain |
| url | https://royalsocietypublishing.org/doi/10.1098/rsos.220645 |
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