A computational modeling of blood flow in asymmetrically bifurcating microvessels and its experimental validation

Microvascular transport is complex due to its heterogeneity. Many researchers have been developing mathematical and computational models in predicting microvascular geometries and blood transport. However, previous works were focused on developing simulation models, not on validating suggested model...

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Bibliographic Details
Published in:International journal for numerical methods in biomedical engineering Vol. 34; no. 6; pp. e2981 - n/a
Main Authors: Lee, Tae‐Rin, Hong, Ji‐Ah, Yoo, Sung Sic, Kim, Do Wan
Format: Journal Article
Language:English
Published: England Wiley Subscription Services, Inc 01-06-2018
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Summary:Microvascular transport is complex due to its heterogeneity. Many researchers have been developing mathematical and computational models in predicting microvascular geometries and blood transport. However, previous works were focused on developing simulation models, not on validating suggested models with microvascular geometry and blood flow in the real microvasculature. In this paper, we suggest a computational model for microvascular transport with experimental validation in its geometry and blood flow. The geometry is generated by controlling asymmetric conditions of microvascular network. Also, the blood flow in microvascular networks is predicted by considering in vivo viscosity, Poiseuille flow model, and hematocrit redistribution by plasma skimming. The suggested model is validated by the measured data in rat mesentery. Also, the microvascular transport in a case of mouse cortex is predicted and compared against experimental data to check applicability of the suggested model. In this paper, we suggest a computational method that can generate microvascular geometries at different values of diameter asymmetry. The generated geometry of microvascular network is compared with the experimental data. Also, we simulate the blood flow in the validated vascular tree.
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ISSN:2040-7939
2040-7947
DOI:10.1002/cnm.2981