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SHR Neuro Krebs Kardio Lipid Stoffw Microb

Neic, A; Gsell, MAF; Karabelas, E; Prassl, AJ; Plank, G.
Automating image-based mesh generation and manipulation tasks in cardiac modeling workflows using Meshtool.
SoftwareX. 2020; 11: 100454-100454. Doi: 10.1016/j.softx.2020.100454 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG


Führende Autor*innen der Med Uni Graz
Neic Aurel-Vasile
Co-Autor*innen der Med Uni Graz
Gsell Matthias
Karabelas Elias
Plank Gernot
Prassl Anton

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Advanced cardiac modeling studies rely on the ability to generate and functionalize personalized in silico models from tomographic multi-label image stacks. Eventually, this is used for building virtual cohorts that capture the variability in size, shape, and morphology of individual hearts. 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. We illustrate how Meshtool increases efficiency and reduces costs by offering an automatable, high performance mesh manipulation toolbox.

Find related publications in this database (Keywords)
Mesh manipulation
Geometric smoothing
Mesh generation
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