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Pulmonary hypertension (PH) can lead to significant vascular remodeling, resulting in altered pulmonary blood flow. Estimating the patient-specific contributions of each remodeling event is necessary to optimize and individualize clinical…

Biological Physics · Physics 2025-07-03 Sunder Neelakantan , Tanmay Mukherjee , Emilio A. Mendiola , Kyle Myers , Reza Avazmohammadi

There is a need to develop Monte Carlo simulations of stroke to run in-silico trials to replace animal models, explore clinical scenarios to develop hypotheses for clinical studies and for interpreting clinical monitoring. We perform…

The aim of this study is to use image-processing techniques developed in the field of astrophysics as inspiration for a novel approach to the three-dimensional (3D) imaging of periprocedural medical data, with the intention of providing…

Medical Physics · Physics 2019-02-05 I. Brewis , J. A. McLaughlin

The efficient construction of anatomical models is one of the major challenges of patient-specific in-silico models of the human heart. Current methods frequently rely on linear statistical models, allowing no advanced topological changes,…

Image and Video Processing · Electrical Eng. & Systems 2024-05-24 Jan Verhülsdonk , Thomas Grandits , Francisco Sahli Costabal , Thomas Pinetz , Rolf Krause , Angelo Auricchio , Gundolf Haase , Simone Pezzuto , Alexander Effland

Understanding the architecture of the human heart requires analysis of its microstructural organization across scales. With the advent of high-resolution imaging techniques such as synchrotron-based tomography, it has become possible to…

Computational Engineering, Finance, and Science · Computer Science 2025-08-12 Joseph Brunet , Lisa Chestnutt , Matthieu Chourrout , Hector Dejea , Vaishnavi Sabarigirivasan , Peter D. Lee , Andrew C. Cook

We propose a deep learning method to model and generate synthetic aortic shapes based on representing shapes as the zero-level set of a neural signed distance field, conditioned by a family of trainable embedding vectors with encode the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-25 Andrei Gasparovici , Alex Serban

Accurate segmentation and motion estimation of myocardium have always been important in clinic field, which essentially contribute to the downstream diagnosis. However, existing methods cannot always guarantee the shape integrity for…

Computer Vision and Pattern Recognition · Computer Science 2022-07-22 Xiaoling Hu , Xiao Chen , Yikang Liu , Eric Z. Chen , Terrence Chen , Shanhui Sun

Coronary arteries and their branches supply blood to myocardium. The obstruction of coronary arteries results in significant loss of myocardium, called acute myocardial infarction, and the number one cause of death globally. Hence,…

Computational Geometry · Computer Science 2017-08-31 Jehyun Chaa , Joonghyun Ryub , Jin-Ho Choi , Deok-Soo Kim

Magnetic Resonance cardiac diffusion tensor imaging (cDTI) and cardiac intravoxel incoherent motion imaging enables probing of in vivo myofiber architecture and myocardial perfusion surrogates. To study the impact of experimental parameters…

Over the past decades, hemodynamics simulators have steadily evolved and have become tools of choice for studying cardiovascular systems in-silico. While such tools are routinely used to simulate whole-body hemodynamics from physiological…

Background. Percutaneous coronary intervention(PCI) in stable coronary artery disease(CAD) is commonly triggered by abnormal myocardial perfusion imaging(MPI). However, due to the possibilities of multivessel disease and variability of…

Medical Physics · Physics 2020-06-15 Haipeng Tang , Robert R. Bober , Chen Zhao , Chaoyang Zhang , Huiqing Zhu , Zhuo He , Zhihui Xu , Weihua Zhou

Cardiac fluid dynamics fundamentally involves interactions between complex blood flows and the structural deformations of the muscular heart walls and the thin, flexible valve leaflets. There has been longstanding scientific, engineering,…

The structural and functional maturation of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) is essential for application to pharmaceutical testing, disease modeling, and ultimately therapeutic use. Multicellular…

Understanding the structural and functional development of human-induced pluripotent stem-cell-derived cardiomyocytes is essential to engineering cardiac tissue that enables pharmaceutical testing, modeling diseases, and designing…

Intracardiac flow patterns are shaped by the coupled motion of the cardiac chambers and heart valves and provide important information about cardiac function. However, clinical flow imaging remains limited by exam times, noise, resolution,…

Image and Video Processing · Electrical Eng. & Systems 2026-05-12 Fanwei Kong , Aaron Brown , Michael Loecher , Perry S. Choi , Lei Shi , Michael Ma , Daniel B. Ennis , Alison Marsden

The assessment of myocardial fiber disarray is of major interest for the study of the progression of myocardial disease. However, time-resolved imaging of the myocardial structure remains unavailable in clinical practice. In this study, we…

Myocardial infarction (MI) is one of the most prevalent cardiovascular diseases with associated clinical decision-making typically based on single-valued imaging biomarkers. However, such metrics only approximate the complex 3D structure…

Computer Vision and Pattern Recognition · Computer Science 2023-07-17 Marcel Beetz , Yilong Yang , Abhirup Banerjee , Lei Li , Vicente Grau

Purpose: Anthropomorphic phantoms can be used in radiotherapy to confirm dose distributions. In this work, a prototype phantom with a deformable chest wall was created based on real human. Methods: A technique similar to 3-dimensional…

Medical Physics · Physics 2021-11-11 Maria Akiki , Fadi Rouphael , Mazen Moussallem

Accurate coronary artery segmentation from coronary computed tomography angiography is essential for quantitative coronary analysis and clinical decision support. Nevertheless, reliable segmentation remains challenging because of small…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Huan Huang , Michele Esposito , Chen Zhao

The clinical application of patient-specific modelling of the heart can provide valuable insights in supplementing and advancing methods of diagnosis as well as helping to devise the best possible therapeutic approach for each individual…

Medical Physics · Physics 2023-08-03 Sebastian Skatulla , Carlo Sansour , Mary Familusi , Jagir Hussan , Ntobeko Ntusi
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