More modeling resources

This is a collection of potentially useful modeling resources provided by the openCARP user community. If you have something to contribute, please let us know by filling this form. If you have questions regarding the resources, please refer to the point of contact described in the linked pages. If you have questions regarding the use of these resources in openCARP, please use the Question2Answer system

Resource categories:

Meshes

To convert meshes to openCARP file formats, meshtool is often the method of choice.

Biatrial statistical shape model and instances

A bi-atrial statistcial shape model and 100 instances derived from the model. Volumetric bi-atrial meshes as vtk files, which were augmented in a post-processing step with a homogeneous wall thickness, fiber orientation (doi:10.1016/j.cma.2020.113468), intra-atrial bridges and material tags so that they are ready to use for electrophysiological simulations of atrial signals.

Link to resource: doi:10.5281/zenodo.4309957
Publication about resource: doi:10.1016/j.media.2021.102210

Biventricular statistical shape model instances

The bi-ventricular statistical shape model by Bai et al. 2015 (doi:10.1016/j.media.2015.08.009) was used to derive 100 simulation-ready instances. The ventricles were connected, the RV was clipped consistently, homogeneous RV wall-thickness was added, surfaces were merged and volumetric meshes generated. Details can be found in the description on Zenodo.

Link to resource: doi:10.5281/zenodo.4419783

Whole-heart meshes

24 whole-heart meshes based on imaging in heart failure patients. Volumetric meshes with region labels and annotated rule-based fiber angles and ventricular coordinates.

Link to resource: doi:10.5281/zenodo.3890033
Publication about resource: doi:10.1371/journal.pone.0235145

Mesh generation tools

This section does not cover general purpose meshing tools but pipelines targeted at openCARP use cases and file formats.

Meshtool

Typical modeling workflows involve a multitude of interactive mesh manipulation steps, rendering model generation expensive. Meshtool is software specifically designed for automating all complex mesh manipulation tasks emerging in such workflows by implementing algorithms for tasks describable as operations on label fields and/or geometric features. Meshtool can also convert a number of input format to openCARP mesh files.

Link to resource: Bitbucket
Publication about resource: doi:10.1016/j.softx.2020.100454

Converting CARTO maps to meshed

Python code to build a simulation-ready 3D mesh from clinical CARTO mapping data. It provides control over mesh resolution, conduction velocity distribution and the definition of non-conductive regions.

Link to resource: GitHub

Model augmentation tools

Atrial fiber annotation

RESILIENT is a rule-based atrial fiber generator for generating bi-atrial fibers and interatrial bridges. The algorithm works with triangle, terahedron and voxel meshes. The fibers are based on 22 seedpoints: 9 in the right atrium and 13 in the left atrium.

Link to resource: GitHub
Publication about resource: doi:10.1515/cdbme-2015-0099

Ventricular fiber annotation

Independent implementation of the Laplace Dirichlet Rule-Based ventricular fiber algorithm by Bayer et al. 2015 (doi:10.1007/s10439-012-0593-5). Both the algorithm as described in the publication by Bayer et al. as well as an adaptation with detail improvements are provided.

Link to resource: GitHub

Ventricular coordinates

MATLAB implementation to compute local coordinates on tetrahedral meshes of biventricular cardiac geometries. Also provided are functions to utilize the results for transferring data, standardized visualization of data and alignment of the heart with the global coordinate axes. Besides code to compute the Cobiveco coordinates (doi:10.1016/j.media.2021.102247), also code to compute the Universal Ventricular Coordinates as described in the publication by Bayer et al. 2018 (doi:10.1016/j.media.2018.01.005) is provided.

Link to resource: GitHub
Publication about resource: doi:10.1016/j.media.2021.102247

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