A Software to Visualize, Edit, Model and Mesh Vascular Networks - Archive ouverte HAL
Communication Dans Un Congrès Année : 2022

A Software to Visualize, Edit, Model and Mesh Vascular Networks

Résumé

Computational fluid dynamics (CFD) is a key tool for a wide range of research areas, beyond the computer science community. In particular, CFD is used in medicine to measure blood flow from patient specific models of arteries. In this field, the creation of accurate meshes remains the most challenging step, as it is based on the segmentation of medical images, a time-consuming task which often requires manual intervention by medical doctors. In this context, userfriendly, interactive softwares are valuable. They enable to spread the new advances in numerical treatment to the medical community and enrich them with the expert knowledge (e.g anatomical knowledge) of clinicians. In this work, we present a user interface dedicated to the meshing of vascular networks from centerlines. It allows for the 3D visualization and edition of input centerlines, which constitute a simplified, easy-tomanipulate representation of vascular networks. The surface of the artery can be reconstructed from the modified centerlines by an editable parametric model and then meshed with high quality hexahedral elements. At every step of the process, the network can be confronted with medical images with enhanced visualization. The software will be released publicly. Clinical relevance - This tool facilitates the manual extraction and editing of vascular networks by medical doctors. It opens the generation of hexahedral meshes for computational fluid dynamics studies to non-expert users.
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Dates et versions

hal-03772160 , version 1 (08-09-2022)

Identifiants

Citer

Méghane Decroocq, Guillaume Lavoué, Makoto Ohta, Carole Frindel. A Software to Visualize, Edit, Model and Mesh Vascular Networks. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Jul 2022, Glasgow, United Kingdom. ⟨10.1109/EMBC48229.2022.9871365⟩. ⟨hal-03772160⟩
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