ArticleIEEE transactions on radiation and plasma medical sciences2019
Incorporation of the Living Heart Model into the 4D XCAT Phantom for Cardiac Imaging Research.
Article in IEEE transactions on radiation and plasma medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 23 citations in OpenAlex.
- Augmented and Mixed Reality in Cardiac Surgery: A Narrative Review.Journal of clinical medicine · 2026Review
- Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion.Physics in medicine and biology · 2026Article
- Optimization of Outflow-Tract Ventricular Arrhythmia Ablation Using a Universal Right Ventricle Model.Journal of cardiovascular development and disease · 2025Article
- Evaluating the accuracy of planar gated blood pool processing software using simulated patient studies.Heliyon · 2024Article
- Evaluation of lesion contrast in the walk-through long axial FOV PET scanner simulated with XCAT anthropomorphic phantoms.EJNMMI physics · 2024Article
- A simulation-based phantom model for generating synthetic mitral valve image data-application to MRI acquisition planning.International journal of computer assisted radiology and surgery · 2024Article
- Development of physiologically-informed computational coronary artery plaques for use in virtual imaging trials.Medical physics · 2024Article
- MRXCAT2.0: Synthesis of realistic numerical phantoms by combining left-ventricular shape learning, biophysical simulations and tissue texture generation.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023Article
- CArdiac and REspiratory adaptive Computed Tomography (CARE-CT): a proof-of-concept digital phantom study.Physical and engineering sciences in medicine · 2022Article
- Monte Carlo Simulation and Reconstruction: Assessment of Myocardial Perfusion Imaging of Tracer Dynamics With Cardiac Motion Due to Deformation and Respiration Using Gamma Camera With Continuous Acquisition.Frontiers in cardiovascular medicine · 2022Article
- Establishing the Biofidelity of a Multiphysics Finite Element Model of the Human Heart.Cardiovascular engineering and technology · 2021Article
- Precision medicine in human heart modeling : Perspectives, challenges, and opportunities.Biomechanics and modeling in mechanobiology · 2021Review
- Development of a new Python-based cardiac phantom for myocardial SPECT imaging.Annals of nuclear medicine · 2021Article
- Advances in Computational Human Phantoms and Their Applications in Biomedical Engineering - A Topical Review.IEEE transactions on radiation and plasma medical sciences · 2019Article
- Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
The 4D extended cardiac-torso (XCAT) phantom has provided a valuable tool to study the effects of anatomy and motion on medical images, especially cardiac motion. One limitation of the XCAT was that it did not have a physiological basis which to realistically simulate variations in cardiac function. In this work, we incorporate into the XCAT anatomy the four-chamber FE Living Heart Model (LHM) developed by the Living Heart Project (LHP). The LHM represents the state of the art in cardiac FE simulation because of its ability to accurately replicate the biomechanical motion of the entire heart and its variations. We create a new series of 4D phantoms capable of simulating patients with varying body sizes and shapes; cardiac positions, orientations, and dynamics. While extendable to other imaging modalities and technologies, our goal is to use the FE-enhanced XCAT models to investigate the optimal use of computed tomography (CT) for the evaluation of coronary artery disease (CAD). With the ability to simulate realistic, predictive, patient quality 4D imaging data, the enhanced XCAT models will enable optimization studies to identify the most promising systems or system parameters for further clinical validation.
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Registered trials
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.