Evidence map›Paper›PMID 40106080›Full record

ArticleAnnals of biomedical engineering2025

Development of a Semi-automatic Finite Element Modeling Workflow for the Evaluation of Cranial Suture-Bone Complex Temporal Strain Evolution During Growth.

Tsolmonbaatar Khurelbaatar, Mahzad Sadati, Rachel Schultz, Leah Fisher, Emilie Robertson, Curtis Budden, Tracy Popowics, Michael R Doschak, Christopher R Dennison, Lindsey Westover and 1 more

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Article in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Tsolmonbaatar KhurelbaatarDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
Mahzad SadatiDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
Rachel SchultzDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
Leah FisherDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
Emilie RobertsonDepartment of Surgery, University of Alberta, Edmonton, AB, Canada.
Curtis BuddenDepartment of Surgery, University of Alberta, Edmonton, AB, Canada.
Tracy PopowicsDepartment of Oral Health Sciences, University of Washington, Seattle, WA, USA.
Michael R DoschakFaculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, AB, Canada.
Christopher R DennisonDepartment of Mechanical Engineering, University of Victoria, Victoria, BC, Canada.
Lindsey WestoverDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
Dan L RomanykDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada. dromanyk@ualberta.ca.ORCID http://orcid.org/0000-0001-7805-5392

Funding

Natural Sciences and Engineering Research Council of Canada Discovery GrantNew Frontiers Research Fund Exploration Fund
6 · The paper itself

Abstract

purposeThis study aimed to develop a semi-automatic workflow for medical image segmentation and finite element (FE) modeling. The workflow was subsequently used to investigate the temporal evolution of the localized mechanical strain in the rat coronal suture during normal growth.

methodsThe subject-specific FE models were created based on in vivo longitudinal micro-computed tomography images acquired from n = 4 rats (AUP00003759, 11/04/2021). The FE models were created through a semi-automatic workflow that consisted of a semi-automatic segmentation of the rat cranial sutures, a simplified full skull model, and the detailed coronal suture model. Simulated intracranial pressure loading was implemented, and the localized equivalent, maximum principal, and minimum principal strains were estimated at volumes of interest (VOIs) selected along the suture-bone interface.

resultsThe semi-automatic segmentations were consistent among operators with a coefficient of variation of 1.8% and showed good agreement compared to the manual segmentation, with maximum differences of 4.1% and 2.0% in terms of suture volume and surface area, respectively. The estimated strains evolved with a trend increasing from 7 to 9 week and 9 to 11 week time intervals and decreasing from 11 to 16 week time interval for all VOIs. The results showed that strains at VOIs significantly changed (p < 0.05) over time. The concave regions of the suture experienced the highest magnitude of strains.

conclusionThe presented research has developed an appropriate semi-automatic FE workflow capable of evaluating temporal changes in mechanical strain of cranial sutures during growth, and was utilized to demonstrate transient and location-specific changes in the rat coronal suture.

Indexed as

Cranial SuturesFinite Element AnalysisModels, BiologicalSkullAnimalsMaleRatsStress, MechanicalX-Ray MicrotomographyBiomechanicsCranial sutureFinite element modelingGrowthMicro-computed tomography

Identifiers

PMID40106080

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