VaMpy: A Python Package to Solve 1D Blood Flow Problems. Issue 1 (8th June 2017)
- Record Type:
- Journal Article
- Title:
- VaMpy: A Python Package to Solve 1D Blood Flow Problems. Issue 1 (8th June 2017)
- Main Title:
- VaMpy: A Python Package to Solve 1D Blood Flow Problems
- Authors:
- Diem, Alexandra K.
Bressloff, Neil W. - Abstract:
- Finite-differences methods such as the Lax-Wendroff method (LW) are commonly used to solve 1D models of blood flow. These models solve for blood flow and lumen area and are useful in disease research, such as hypertension and atherosclerosis, where flow and pressure are good indicators for the presence of disease. Despite the popularity of the LW method to solve the blood flow equations, no implementation of a LW solver for these equations has been published and made publicly available. This leads to the reimplementation of the same methods within different research groups and makes verification of results more difficult. The Vascular Modelling in Python (VaMpy) toolkit is a Python package that aims to fill this gap. It implements Richtmyer's two-step Lax-Wendroff scheme to solve 1D model equations of blood flow in arterial trees and aims at facilitating the solution of blood flow problems for various medical applications.
- Is Part Of:
- Journal of open research software. Volume 5:Issue 1(2017)
- Journal:
- Journal of open research software
- Issue:
- Volume 5:Issue 1(2017)
- Issue Display:
- Volume 5, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 5
- Issue:
- 1
- Issue Sort Value:
- 2017-0005-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-06-08
- Subjects:
- Python -- blood flow -- arterial tree -- hemodynamics -- finite differences -- partial differential equations
Computer software -- Reusability -- Periodicals
Open source software -- Periodicals
005 - Journal URLs:
- http://openresearchsoftware.metajnl.com/ ↗
- DOI:
- 10.5334/jors.159 ↗
- Languages:
- English
- ISSNs:
- 2049-9647
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 14751.xml