Automating image-based mesh generation and manipulation tasks in cardiac modeling workflows using Meshtool
Aurel Neic,
Matthias A.F. Gsell,
Elias Karabelas,
Anton J. Prassl,
Gernot Plank
Affiliations
Aurel Neic
Gottfried Schatz Research Center: Division of Biophysics, Medical University of Graz, Graz, Austria; NumeriCor GmbH, Graz, Austria; Corresponding author at: NumeriCor GmbH, Graz, Austria.
Matthias A.F. Gsell
Gottfried Schatz Research Center: Division of Biophysics, Medical University of Graz, Graz, Austria
Elias Karabelas
Gottfried Schatz Research Center: Division of Biophysics, Medical University of Graz, Graz, Austria; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
Anton J. Prassl
Gottfried Schatz Research Center: Division of Biophysics, Medical University of Graz, Graz, Austria
Gernot Plank
Gottfried Schatz Research Center: Division of Biophysics, Medical University of Graz, Graz, Austria
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.
