Automating image-based mesh generation and manipulation tasks in cardiac modeling workflows using Meshtool

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...

Full description

Saved in:
Bibliographic Details
Published in:SoftwareX 2020-01, Vol.11, p.100454-100454, Article 100454
Main Authors: Neic, Aurel, Gsell, Matthias A.F., Karabelas, Elias, Prassl, Anton J., Plank, Gernot
Format: Article
Language:English
Subjects:
Geometric smoothing
Mesh generation
Mesh manipulation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2352-7110
2352-7110
DOI:10.1016/j.softx.2020.100454