Print Email Facebook Twitter On the identification of hypoxic regions in subject-specific cerebral vasculature by combined CFD/MRI Title On the identification of hypoxic regions in subject-specific cerebral vasculature by combined CFD/MRI Author Perinajová, R. (TU Delft ChemE/Transport Phenomena; J.M. Burgers Centre for Fluid Mechanics) van Ooij, Pim (Amsterdam UMC) Kenjeres, S. (TU Delft ChemE/Transport Phenomena; J.M. Burgers Centre for Fluid Mechanics) Date 2023 Abstract 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 noninvasive 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. Subject AlzheimerbrainCFDhypoxiaMRIoxygen transport To reference this document use: http://resolver.tudelft.nl/uuid:70213029-2de4-4fab-b0ca-b5ebb27188e6 DOI https://doi.org/10.1098/rsos.220645 ISSN 2054-5703 Source Royal Society Open Science, 10 (1) Part of collection Institutional Repository Document type journal article Rights © 2023 R. Perinajová, Pim van Ooij, S. Kenjeres Files PDF rsos.220645.pdf 2.01 MB Close viewer /islandora/object/uuid:70213029-2de4-4fab-b0ca-b5ebb27188e6/datastream/OBJ/view