Journal article
A Workflow for Creating Gastric Computational Models from SPARC Scaffolds
R Avci, ON Athavale, M Sangi, MR Di Natale, JB Furness, Z Liu, P Du, LK Cheng
Applied Sciences Switzerland | MDPI | Published : 2024
DOI: 10.3390/app142210393
Abstract
Featured Application: A framework to develop computational models from SPARC scaffolds was developed and utilized to simulate gastric slow waves in a rat stomach. In-silico studies are an ideal medium to model and improve our understanding of the mechanisms underlying gastric motility in health and disease. In this study, a workflow to create computational models of the stomach was developed using SPARC scaffolds. Three anatomically based finite element method (FEM) models of the rat stomach incorporating experimental measurements of muscle layer thickness and fiber orientations across the stomach were developed: (i) 2D (surface) FEM model with no thickness, (ii) 3D (volume) FEM model with a..
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Grants
Awarded by Royal Society Te Apārangi
Funding Acknowledgements
This work was funded, in part, by the National Institutes of Health (NIH) (SPARC OT2OD030538), the Marsden Fund Council managed by Royal Society Te Aparangi, and Auckland Bioengineering Institute.