A fast numerical method for oxygen supply in tissue with complex blood vessel network

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Julkaisussa:PLoS One vol. 16, no. 2 (Feb 2021), p. e0247641
Päätekijä: Lu, Yuankai
Muut tekijät: Hu, Dan, Ying, Wenjun
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Public Library of Science
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Abstrakti:About the Authors: Yuankai Lu Roles Methodology, Software, Writing – original draft, Writing – review & editing Affiliation: School of Mathematical Sciences, Institute of Natural Sciences, and MOE-LSC, Shanghai Jiao Tong University, Shanghai, China ORCID logo https://orcid.org/0000-0003-3778-4198 Dan Hu Roles Conceptualization, Methodology, Supervision, Writing – review & editing * E-mail: hudan80@sjtu.edu.cn Affiliation: School of Mathematical Sciences, Institute of Natural Sciences, and MOE-LSC, Shanghai Jiao Tong University, Shanghai, China Wenjun Ying Roles Resources, Software Affiliation: School of Mathematical Sciences, Institute of Natural Sciences, and MOE-LSC, Shanghai Jiao Tong University, Shanghai, China Abstract Angiogenesis plays an essential role in many pathological processes such as tumor growth, wound healing, and keloid development. [...]existing techniques can hardly offer a complete spatial-temporal picture of oxygen field on microscopic scales. [...]theoretic modeling [18–20] and numerical simulation [21–26] is widely utilized in evaluating oxygen level and studying angiogenesis. [...]in most real applications, it is important to incorporate the complex vessel network structures into the model and numerical algorithms to evaluate the oxygen field in tissue. [...]the corresponding computational cost is huge for tissue with large-scale complex vessel network structure.
ISSN:1932-6203
DOI:10.1371/journal.pone.0247641
Lähde:Health & Medical Collection