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Communication Dans Un Congrès Année : 2020

Towards a multi-scale virtual heart model

Résumé

This paper presents a three-dimensional multiscale structure and object-oriented model to generate a synthetic heart. This model consists of a series of elementary objects at different resolution level from the macro- to the micro-scale. Each object is described by a vector of attributes. The shapes and size of the components of the tissue are inspired from Synchrotron Radiation Phase micro-Computed Tomography (SR-PCT) of human left ventricle wall samples. To enhance the similarity between the model and the experimental data, we use a Free-Form Deformation (FFD) technique to deform each object. Our first results demonstrate that the model can simulate realistic voxel-based elementary objects and simulate experimental data and shapes. The hierarchical graph structure of the model that includes inter level relationships has a strong potential interest.
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Dates et versions

hal-03148474 , version 1 (28-11-2021)

Identifiants

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Zexian Wang, François Varray, Patrick Clarysse, Isabelle E. Magnin. Towards a multi-scale virtual heart model. IEEE International Conference on Signal Processing (ICSP), Dec 2020, Beijing, China. ⟨10.1109/ICSP48669.2020.9321058⟩. ⟨hal-03148474⟩
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