Numerical simulation and fast method for the 0D‐1D multi‐scale coupled model and its application in ischemic brain tissue blood flow problems

As living standards rise, more and more people are paying attention to their own health, especially issues such as cerebral thrombosis, cerebral infarction, and other cerebral blood flow problems. An accurate simulation of blood flow within cerebral vessels has emerged as a crucial area of research....

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Vydáno v:	International journal for numerical methods in biomedical engineering Ročník 40; číslo 6; s. e3828 - n/a
Hlavní autoři:	Liu, Yi, Jia, Junqing, Zeng, Fanhai, Jiang, Xiaoyun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Hoboken, USA John Wiley & Sons, Inc 01.06.2024 Wiley Subscription Services, Inc
Témata:	Accuracy Algorithms Blood flow Blood pressure Blood vessels Brain Brain - blood supply Brain Ischemia - physiopathology Cerebral blood flow Cerebral infarction Cerebrovascular Circulation - physiology Computational neuroscience Computer Simulation fast method Finite Element Analysis Finite element method Flow simulation geometric multi‐scale coupled model Humans Intracranial pressure Intracranial Pressure - physiology Ischemia ischemic cerebral tissue blood flow Mathematical models Microcirculation - physiology Models, Cardiovascular Numerical methods Pressure effects Runge-Kutta method Simulation Stenosis Thromboembolism Thrombosis ischemic cerebral tissue blood flow geometric multi‐scale coupled model Runge–Kutta method fast method finite element method
ISSN:	2040-7939, 2040-7947, 2040-7947
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Shrnutí:	As living standards rise, more and more people are paying attention to their own health, especially issues such as cerebral thrombosis, cerebral infarction, and other cerebral blood flow problems. An accurate simulation of blood flow within cerebral vessels has emerged as a crucial area of research. In this study, we focus on microcirculatory blood flow in ischemic brain tissue and employ a 0D‐1D geometric multi‐scale coupled model to characterize this process. Given the intricate nature of human cerebral vessels, we apply a numerical method combining the finite element method and the third‐order Runge–Kutta method to resolve the coupled model. To enhance computational efficiency, we introduce a fast method based on the reduced‐order extrapolation algorithm. Our numerical example underscores the stability of the method and convergence accuracy to Oh3+τ3, while significantly improving the accuracy and efficiency of blood flow simulation, making the mechanism analysis more accurate. Additionally, we present examples detailing variations and distribution of intracranial pressure and blood flow in ischemic brain tissue throughout a cardiac cycle. Both reduced vascular compliance and vascular stenosis can have adverse effects on intracranial cerebral pressure and blood flow, leading to insufficient local oxygen supply and negative effects on brain function. Meanwhile, there will also be corresponding changes in volume flow and pulsatile blood pressure. Numerical simulation and fast method for the 0D‐1D multi‐scale coupled model and its application in ischemic brain tissue blood flow problems.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	2040-7939 2040-7947 2040-7947
DOI:	10.1002/cnm.3828