ArticleMedical image analysis2012
An atlas-based geometry pipeline for cardiac Hermite model construction and diffusion tensor reorientation.
Article in Medical image analysis, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Assessing the importance of sex and disease-specific anatomy in electrophysiology and mechanical simulations with a newly developed public virtual cohort of four-chamber heart models.PLoS computational biology · 2026Article
- Successful cardiac resynchronization therapy reduces negative septal work in patient-specific models of dyssynchronous heart failure.PLoS computational biology · 2024Article
- Successful Cardiac Resynchronization Therapy Reduces Negative Septal Work in Patient-Specific Models of Dyssynchronous Heart Failure.bioRxiv : the preprint server for biology · 2024Article
- Modeling material transport regulation and traffic jam in neurons using PDE-constrained optimization.Scientific reports · 2022Article
- Deep learning of material transport in complex neurite networks.Scientific reports · 2021Article
- Polygonal surface processing and mesh generation tools for the numerical simulation of the cardiac function.International journal for numerical methods in biomedical engineering · 2021Article
- 3D Hermite Transform Optical Flow Estimation inLeft Ventricle CT Sequences.Sensors (Basel, Switzerland) · 2020Article
- A framework for biomechanics simulations using four-chamber cardiac models.Journal of biomechanics · 2019Article
- Cardiac image modelling: Breadth and depth in heart disease.Medical image analysis · 2016Review
- Multiphysics and multiscale modelling, data-model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics.Interface focus · 2016Review
- DTI template-based estimation of cardiac fiber orientations from 3D ultrasound.Medical physics · 2015Article
- Left Ventricular Diastolic and Systolic Material Property Estimation from Image Data: LV Mechanics Challenge.Statistical atlases and computational models of the heart. STACOM (Workshop) · 2015Article
- High-order finite element methods for cardiac monodomain simulations.Frontiers in physiology · 2015Article
- Mapping Cardiac Fiber Orientations from High-Resolution DTI to High-Frequency 3D Ultrasound.Proceedings of SPIE--the International Society for Optical Engineering · 2014Article
- An automatic service for the personalization of ventricular cardiac meshes.Journal of the Royal Society, Interface · 2014Article
- Atlas-based Anatomical Modeling and Analysis of Heart Disease.Drug discovery today. Disease models · 2014Article
- Automatic 4D reconstruction of patient-specific cardiac mesh with 1-to-1 vertex correspondence from segmented contours lines.PloS one · 2014Article
- Article
- A three-dimensional finite element model of human atrial anatomy: new methods for cubic Hermite meshes with extraordinary vertices.Medical image analysis · 2013Article
- Mathematical model of the anatomy and fibre orientation field of the left ventricle of the heart.Biomedical engineering online · 2013Article
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Authors and funding
12 authors.
Funding
Abstract
Here we present a novel atlas-based geometry pipeline for constructing three-dimensional cubic Hermite finite element meshes of the whole human heart from tomographic patient image data. To build the cardiac atlas, two superior atria, two inferior ventricles as well as the aorta and the pulmonary trunk are first segmented, and epicardial and endocardial boundary surfaces are extracted and smoothed. Critical points and skeletons (or central-line paths) are identified, following the cardiac topology. The surface model and the path tree are used to construct a hexahedral control mesh via a skeleton-based sweeping method. Derivative parameters are computed from the control mesh, defining cubic Hermite finite elements. The thickness of the atria and the ventricles is obtained using segmented epicardial boundaries or via offsetting from the endocardial surfaces in regions where the image resolution is insufficient. We also develop a robust optical flow approach to deform the constructed atlas and align it with the image from a second patient. This registration method is fully-automatic, and avoids manual operations required by segmentation and path extraction. Moreover, we demonstrate that this method can also be used to deformably map diffusion tensor MRI data with patient geometries to include fiber and sheet orientations in the finite element model.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.