Journal article · Computer Physics Communications 2019
LibreGrowth: A Tumor Growth Code Based on Reaction-Diffusion Equations Using Shared Memory
Computer Physics Communications, 2019
Abstract
In recent years, in-silico experimentation within the field of oncological medicine has been intensively investigated with the aim of better understanding tumor dynamics and dose–response relationships in cancer treatments. Here we present LibreGrowth, a libre tumor growth code able to simulate the core growth and peripheral tumor cell infiltration, considering a benign and a malignant stages.
We implemented a reaction–diffusion based model, with spatially variable diffusion coefficient, into a three-dimensional domain, using C++ and OpenMP over a GNU/Linux system. LibreGrowth aims to provide a flexible implementation for depicting heterogeneous tissues and infiltration processes, and to shed light in current therapy optimization strategies.
The version of record is at doi:10.1016/j.cpc.2019.05.005.
Cite this paper
Download .bib ↓Emmanuel Lujan, María Sol Rosito, Alejandro Soba and Cecilia Suárez, “LibreGrowth: A Tumor Growth Code Based on Reaction-Diffusion Equations Using Shared Memory,” Computer Physics Communications, 2019.
doi:10.1016/j.cpc.2019.05.005
@article{lujan2019libregrowth,
title={{LibreGrowth}: A Tumor Growth Code Based on Reaction-Diffusion Equations Using Shared Memory},
author={Luj{\'{a}}n, Emmanuel and Rosito, Mar{\'{i}}a Sol and Soba, Alejandro and Su{\'{a}}rez, Cecilia},
journal={Computer Physics Communications},
year={2019},
doi={10.1016/j.cpc.2019.05.005}
}