ArticleStatistical atlases and computational models of the heart. STACOM (Workshop)2015
Left Ventricular Diastolic and Systolic Material Property Estimation from Image Data: LV Mechanics Challenge.
Article in Statistical atlases and computational models of the heart. STACOM (Workshop), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Statistical Atlas-Based Surrogate Model of Biventricular Wall Mechanics.bioRxiv : the preprint server for biology · 2026Article
- Long-term inhaling ultrafine zinc particles increases cardiac wall stresses elevated by myocardial infarction.Biomedical engineering online · 2024Article
- An Atlas-Based Analysis of Biventricular Mechanics in Tetralogy of Fallot.Statistical atlases and computational models of the heart. STACOM (Workshop) · 2022Article
- Optimization Framework for Patient-Specific Cardiac Modeling.Cardiovascular engineering and technology · 2019Article
- A framework for biomechanics simulations using four-chamber cardiac models.Journal of biomechanics · 2019Article
- Biomechanics Simulations Using Cubic Hermite Meshes with Extraordinary Nodes for Isogeometric Cardiac Modeling.Computer aided geometric design · 2016Article
Corrections and comments
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5 authors.
Funding
Abstract
Cardiovascular simulations using patient-specific geometries can help researchers understand the mechanical behavior of the heart under different loading or disease conditions. However, to replicate the regional mechanics of the heart accurately, both the nonlinear passive and active material properties must be estimated reliably. In this paper, automated methods were used to determine passive material properties while simultaneously computing the unloaded reference geometry of the ventricles for stress analysis. Two different approaches were used to model systole. In the first, a physiologically-based active contraction model [1] coupled to a hemodynamic three-element Windkessel model of the circulation was used to simulate ventricular ejection. In the second, developed active tension was directly adjusted to match ventricular volumes at end-systole while prescribing the known end-systolic pressure. These methods were tested in four normal dogs using the data provided for the LV mechanics challenge [2]. The resulting end-diastolic and end-systolic geometry from the simulation were compared with measured image data.
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