Content area

Abstract

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: [email protected] 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.

Details

1009240
Location
Title
A fast numerical method for oxygen supply in tissue with complex blood vessel network
Publication title
PLoS One; San Francisco
Volume
16
Issue
2
First page
e0247641
Publication year
2021
Publication date
Feb 2021
Section
Research Article
Publisher
Public Library of Science
Place of publication
San Francisco
Country of publication
United States
e-ISSN
19326203
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Milestone dates
2020-10-26 (Received); 2021-02-10 (Accepted); 2021-02-26 (Published)
ProQuest document ID
2493832537
Document URL
https://www.proquest.com/scholarly-journals/fast-numerical-method-oxygen-supply-tissue-with/docview/2493832537/se-2?accountid=208611
Copyright
© 2021 Lu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-10-07
Database
ProQuest One Academic