Angiogenesis3D1D

Introduction
Examples
Installation

Introduction

3D-1D tumor growth model for simulation of angiogenesis. The code is used to generate results in the papers

Marvin Fritz, Prashant K. Jha, Tobias Köppl, J. Tinsley Oden, and Barbara Wohlmuth. Analysis of a new multispecies tumor growth model coupling 3D phase-fields with a 1D vascular network. Nonlinear Analysis: Real World Applications 61 (2021): 103331. doi.

Marvin Fritz, Prashant K. Jha, Tobias Köppl, J. Tinsley Oden, Andreas Wagner, and Barbara Wohlmuth. Modeling and simulation of vascular tumors embedded in evolving capillary networks. Computer Methods in Applied Mechanics and Engineering (2021), 384, 113975. doi.

Examples

Example of tumor growth with two vessels (artery and vein) is provided in the directory two_vessels. Python scripts are used to create various input files.

To run the example, first copy the examples directory inside the build directory. In shell script, we use relative path to obtain the executible. To run the example from other directory, one needs to modify the run script and provide the path to binary directory in the variable EXEC_DIR in run script. After the examples directory is copied, cd to the two_vessels directory and run the example using

python3 two_vessels.py run

Above will create following input files used in the code:

input.in - File that provides final time, mesh size, and values of parameters in the model
tum_ic_data_tag.csv - Provides the location and size of tumor cores
two_vessels_tag.dgf - Provides the initial vessel network

Installation

Dependencies

Core dependencies are:

cmake (3.10.2 or above)
- recommend to install using apt-get
vtk (7.1.1)
- recommend to install using apt-get
- required to output simulation results in .vtu format
petsc (3.13.3 or above)
- required to build libmesh
- see further below on how to build this
libmesh (1.5.0 or above)
- core library
- see further below on how to build this
aixlog (1.2.4)
- included as external library in the code
- for logging
fast-cpp-csv-parser (1.2.4)
- included as external library in the code
- for reading csv file
gmm
- included as external library in the code
- provides framework to solve linear systems associated to the 1D networks

Dependencies for running the examples:

python3
- required to run the test python scripts
numpy
- required to run the test python scripts

Building the code

Assuming all dependencies are installed in global path (/usr/local/ etc), we build the code using

git clone https://github.com/CancerModeling/Angiogenesis3D1D.git

cd Angiogenesis3D1D && mkdir build && cd build

cmake   -DEnable_Documentation=ON \
        -DEnable_Tests=ON \
        -DCMAKE_BUILD_TYPE=Release \
        ..

make -j 4

ctest --verbose

If libmesh and petsc are installed at custom paths, we will do

git clone https://github.com/CancerModeling/Angiogenesis3D1D.git

cd Angiogenesis3D1D && mkdir build && cd build

cmake   -DLIBMESH_DIR="<libmesh install path>" \
        -DPETSC_LIB="<petsc install path>/lib" \
        -DEnable_Documentation=ON \
        -DEnable_Tests=ON \
        -DCMAKE_BUILD_TYPE=Release \
        .. 

make -j 4

ctest --verbose

Recommendations for quick build

Install most of the dependencies using apt-get:

sudo apt-get update 
  
sudo apt-get install -y build-essential ubuntu-dev-tools \
  wget curl lzip \
  cmake gfortran \
  libopenmpi-dev openmpi-bin \
  libboost-all-dev libvtk7-dev \
  liblapack-dev libblas-dev \
  doxygen doxygen-latex graphviz ghostscript \
  python3-pip 

# pyvista and pandas are not required, so they can be excluded
pip3 install numpy

Build petsc and libmesh. You can follow the steps used in building the dockerfile. We plan to include seperate shell script to install petsc and libmesh.
Use instructions in previous section to build Angiogenesis3D1D.

Docker

For circle-ci testing, we use docker images prashjha/angio-base-bionic and prashjha/angio-base-focal of ubuntu 18.04 and 20.04 with petsc and libmesh installed. The associated dockerfiles can be found here.

In Packages, docker images of Angiogenesis3D1D is provided.

Citations

If this library was useful in your work, we recommend citing the following articles:

Fritz, M., Jha, P. K., Köppl, T., Oden, J. T., Wagner, A., & Wohlmuth, B. (2021). Modeling and simulation of vascular tumors embedded in evolving capillary networks. Computer Methods in Applied Mechanics and Engineering, 384, 113975. doi.

Fritz, M., Jha, P. K., Köppl, T., Oden, J. T., & Wohlmuth, B. (2021). Analysis of a new multispecies tumor growth model coupling 3D phase-fields with a 1D vascular network. Nonlinear Analysis: Real World Applications, 61, 103331. doi.

cancermodeling / angiogenesis3d1d Goto Github PK