
Porous Modelling of Cardiac Perfusion under Contraction to Demonstrate the Distribution of Therapeutic Nanoparticles
Author(s) -
Alexandra K Diem,
Kristian Valen-Sendstad
Publication year - 2020
Publication title -
2019 computing in cardiology (cinc)
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.257
H-Index - 55
ISSN - 2325-887X
ISBN - 978-1-7281-6936-1
DOI - 10.22489/cinc.2019.291
Subject(s) - bioengineering , computing and processing , signal processing and analysis
Delivery of therapy-loaded nanoparticles (NP) via inhalation is an innovative technology shown to successfully reduce heart failure in mice, improving the efficiency of drug delivery, and reducing adverse side effects. However, how exactly therapeutic NP are distributed and absorbed by heart tissue remains poorly understood, and accelerating this technology to humans is a major challenge. Working towards overcoming this problem we developed an open-source finite element model of myocardial perfusion based on porous media, where perfused tissue is treated as a sponge-like continuum material, driven by a continuum model of cardiac contraction to simulate perfusion patterns. We use our novel particle-tracking based method that remains numerically stable under high Peclet number flow to enable the study of NP distribution.