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Related papers: Improved Visualisation of Patient-Specific Heart S…

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Patient-specific computational models of the heart are powerful tools for cardiovascular research and medicine, with demonstrated applications in treatment planning, device evaluation, and surgical decision-making. Yet constructing such…

Medical Physics · Physics 2026-04-21 Aaron L. Brown , Ju Liu , Daniel B. Ennis , Alison L. Marsden

Deformable registration of two-dimensional/three-dimensional (2D/3D) images of abdominal organs is a complicated task because the abdominal organs deform significantly and their contours are not detected in two-dimensional X-ray images. We…

Image and Video Processing · Electrical Eng. & Systems 2022-12-13 Ryuto Miura , Megumi Nakao , Mitsuhiro Nakamura , Tetsuya Matsuda

For medical volume visualization, one of the most important tasks is to reveal clinically relevant details from the 3D scan (CT, MRI ...), e.g. the coronary arteries, without obscuring them with less significant parts. These volume datasets…

Artificial Intelligence · Computer Science 2009-06-12 Dženan Zukić , Andreas Elsner , Zikrija Avdagić , Gitta Domik

Standard views in two-dimensional echocardiography are well established but the quality of acquired images are highly dependent on operator skills and are assessed subjectively. This study is aimed at providing an objective assessment…

Image and Video Processing · Electrical Eng. & Systems 2022-09-05 Robert B. Labs , Apostolos Vrettos , Jonathan Loo , Massoud Zolgharni

Echocardiography image quality assessment is not a trivial issue in transthoracic examination. As the in vivo examination of heart structures gained prominence in cardiac diagnosis, it has been affirmed that accurate diagnosis of the left…

Image and Video Processing · Electrical Eng. & Systems 2022-09-05 Robert B. Labs , Massoud Zolgharni , Jonathan P. Loo

For plane-wave and many-spiral states of the experimentally based Luo-Rudy 1 model of heart tissue in large (8 cm square) domains, we show that an explicit space-time-adaptive time-integration algorithm can achieve an order of magnitude…

Computational Physics · Physics 2009-10-31 Elizabeth M. Cherry , Henry S. Greenside , Craig S. Henriquez

Diffusion models have recently gained immense interest for their generative capabilities, specifically the high quality and diversity of the synthesized data. However, examples of their applications in 3D medical imaging are still scarce,…

Image and Video Processing · Electrical Eng. & Systems 2025-08-21 Jolanta Mozyrska , Marcel Beetz , Luke Melas-Kyriazi , Vicente Grau , Abhirup Banerjee , Alfonso Bueno-Orovio

Echocardiography is a critical tool for detecting heart diseases, yet its steep operational difficulty causes a shortage of skilled personnel. Probe guidance systems, which assist in acquiring high-quality images, offer a promising solution…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Teng Wang , Haojun Jiang , Yuxuan Wang , Zhenguo Sun , Yujiao Deng , Shiji Song , Gao Huang

Diffusion models have achieved significant success in both natural image and medical image domains, encompassing a wide range of applications. Previous investigations in medical images have often been constrained to specific anatomical…

Computer Vision and Pattern Recognition · Computer Science 2025-12-08 Yongrui Yu , Yannian Gu , Shaoting Zhang , Xiaofan Zhang

Background: Conventional cardiovascular magnetic resonance (CMR) in paediatric and congenital heart disease uses 2D, breath-hold, balanced steady state free precession (bSSFP) cine imaging for assessment of function and cardiac-gated,…

Image and Video Processing · Electrical Eng. & Systems 2025-07-01 Mark Wrobel , Michele Pascale , Tina Yao , Ruaraidh Campbell , Elena Milano , Michael Quail , Jennifer Steeden , Vivek Muthurangu

Incorporation of prior knowledge about organ shape and location is key to improve performance of image analysis approaches. In particular, priors can be useful in cases where images are corrupted and contain artefacts due to limitations in…

We propose a mathematical and numerical model for the simulation of the heart function that couples cardiac electrophysiology, active and passive mechanics and hemodynamics, and includes reduced models for cardiac valves and the circulatory…

Numerical Analysis · Mathematics 2022-08-12 Michele Bucelli , Alberto Zingaro , Pasquale Claudio Africa , Ivan Fumagalli , Luca Dede' , Alfio Quarteroni

In lung radiotherapy, the primary objective is to optimize treatment outcomes by minimizing exposure to healthy tissues while delivering the prescribed dose to the target volume. The challenge lies in accounting for lung tissue motion due…

Medical Physics · Physics 2024-11-26 Frederic Madesta , Lukas Wimmert , Tobias Gauer , René Werner , Thilo Sentker

The human heart is a sophisticated system composed of four cardiac chambers with distinct shapes, which function in a coordinated manner. Existing shape models of the heart mainly focus on the ventricular chambers and they are derived from…

Image and Video Processing · Electrical Eng. & Systems 2026-03-31 Qiang Ma , Qingjie Meng , Yicheng Wu , Shuo Wang , Mengyun Qiao , Steven Niederer , Declan P. O'Regan , Paul M. Matthews , Wenjia Bai

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

Astronomical researchers often think of analysis and visualization as separate tasks. In the case of high-dimensional data sets, though, interactive exploratory data visualization can give far more insight than an approach where data…

Instrumentation and Methods for Astrophysics · Physics 2015-06-05 Alyssa A. Goodman

Timelapse images of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide rich information on cell structure and contractile function. However, it is challenging to reproducibly generate tissue samples and conduct…

Quantitative Methods · Quantitative Biology 2025-11-18 Saeed Mohammadzadeh , Yao-Chang Tsan , Aaron Renberg , Hiba Kobeissi , Adam Helms , Emma Lejeune

Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-time volumetric images during the treatment delivery of lung stereotactic body radiation therapy (SBRT) for accurate and active motion…

Registration is widely used in image-guided therapy and image-guided surgery to estimate spatial correspondences between organs of interest between planning and treatment images. However, while high-quality computed tomography (CT) images…

Image and Video Processing · Electrical Eng. & Systems 2022-03-11 Lin Tian , Connor Puett , Peirong Liu , Zhengyang Shen , Stephen R. Aylward , Yueh Z. Lee , Marc Niethammer

Automated segmentation of Cardiac Magnetic Resonance (CMR) plays a pivotal role in efficiently assessing cardiac function, offering rapid clinical evaluations that benefit both healthcare practitioners and patients. While recent research…

Image and Video Processing · Electrical Eng. & Systems 2024-06-14 Abdul Qayyum , Hao Xu , Brian P. Halliday , Cristobal Rodero , Christopher W. Lanyon , Richard D. Wilkinson , Steven Alexander Niederer