The mathematical and numerical modeling of the cardiac function is a very challenging research topic.Īdvances in this field can help to better understand the heart physiologyĪnd are promoting a new approach to the study of cardiac pathologies and their treatments. We detail all the proposed algorithms motivating them in the cardiac context and we highlight their flexibility by showing different examples of cardiac mesh generation pipelines. Thanks to these features, the proposed tools can significantly speed‐up the mesh generation process for a large range of cardiac applications, from single‐chamber single‐physics simulations to multi‐chambers multi‐physics simulations. The new algorithms-implemented in the open‐source software vmtk-can be combined with each other allowing the creation of personalized pipelines, that can be optimized for each cardiac geometry or for each aspect of the cardiac function to be modeled.

In particular, we focus on different aspects of a cardiac mesh generation pipeline: (1) specific polygonal surface processing for cardiac geometries, like connection of different heart chambers or segmentation outputs (2) generation of accurate boundary tags (3) definition of mesh‐size functions dependent on relevant geometric quantities (4) processing and connecting together several volumetric meshes. In this work we propose a set of new algorithms and tools aiming to facilitate the mesh generation process.

These surfaces need ad‐hoc processing to be suitable for a volumetric mesh generation. In practice, the input is typically a set of unprocessed polygonal surfaces coming either from a template geometry or from medical images. In order to simulate the cardiac function for a patient‐specific geometry, the generation of the computational mesh is crucially important.

Tool office toolkit 2.3.2