Nadzri A.N.Mokhtarudin M.J.M.Naim W.N.W.A.Payne S.J.STEPHEN JOHN PAYNE2022-05-242022-05-242021https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104829211&doi=10.1109%2fIECBES48179.2021.9398811&partnerID=40&md5=8570b3e9acbcd1e0371da992281b9873https://scholars.lib.ntu.edu.tw/handle/123456789/611710Decompressive craniectomy is a treatment in which part of the skull is removed so as to reduce the intracranial pressure in the skull, especially during brain tissue swelling. Computational modeling studies may be used to understand the efficiency of this treatment in ischaemic stroke for advance clinical decision making. Thus, we performed a simulation using a mathematical model based on poroelastic theory and capillary filtration to see the effects of craniectomy in treating brain tissue swelling using 3D brain geometry. The results show that performing craniectomy can reduce intracranial pressure and reduce the effect of herniation. However, part of the brain is bulging out from the surgical hole and exerts a small amount of stress on the tissue by the surgical edge. This mathematical modeling framework can be used for further investigation of finding the suitable parameters for a decompressive craniectomy. ? 2021 IEEE.Biomedical engineeringBrainComputation theoryDecision makingSurgeryCapillary filtrationClinical decision makingComputational modelConceptual modelDecompressive craniectomyIntra-cranial pressurePoroelastic theoryStroke treatmentsTissueconference paper10.1109/IECBES48179.2021.93988112-s2.0-85104829211