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Accurate 3D+t whole-heart mesh reconstruction from cine MRI is a clinically crucial yet technically challenging task. The difficulty of this task arises from two coupled factors: inherently sparse sampling of 3D cardiac anatomy by 2D image…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Xiaoyue Liu , Xiaohan Yuan , Mark Y Chan , Ching-Hui Sia , Lei Li

We present a novel approach to reconstruction of 3D cardiac motion from sparse intraoperative data. While existing methods can accurately reconstruct 3D organ geometries from full 3D volumetric imaging, they cannot be used during surgical…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Yihong Chen , Jiancheng Yang , Deniz Sayin Mercadier , Hieu Le , Pascal Fua

Automated construction of surface geometries of cardiac structures from volumetric medical images is important for a number of clinical applications. While deep-learning-based approaches have demonstrated promising reconstruction precision,…

Image and Video Processing · Electrical Eng. & Systems 2021-09-15 Fanwei Kong , Nathan Wilson , Shawn C. Shadden

Cardiac Magnetic Resonance (CMR) imaging serves as the gold-standard for evaluating cardiac morphology and function. Typically, a multi-view CMR stack, covering short-axis (SA) and 2/3/4-chamber long-axis (LA) views, is acquired for a…

Image and Video Processing · Electrical Eng. & Systems 2025-07-03 Yundi Zhang , Chen Chen , Suprosanna Shit , Sophie Starck , Daniel Rueckert , Jiazhen Pan

3D motion estimation from cine cardiac magnetic resonance (CMR) images is important for the assessment of cardiac function and the diagnosis of cardiovascular diseases. Current state-of-the art methods focus on estimating dense…

Image and Video Processing · Electrical Eng. & Systems 2023-09-26 Qingjie Meng , Wenjia Bai , Declan P O'Regan , and Daniel Rueckert

Accurate cardiac anatomy modeling requires the model to be able to handle intricate interrelations among structures. In this paper, we propose VecHeart, a unified framework for holistic reconstruction and generation of four-chamber cardiac…

Computer Vision and Pattern Recognition · Computer Science 2026-04-22 Yihong Chen , Pascal Fua

In cardiac magnetic resonance (CMR) imaging, a 3D high-resolution segmentation of the heart is essential for detailed description of its anatomical structures. However, due to the limit of acquisition duration and respiratory/cardiac…

Image and Video Processing · Electrical Eng. & Systems 2021-07-09 Shuo Wang , Chen Qin , Nicolo Savioli , Chen Chen , Declan O'Regan , Stuart Cook , Yike Guo , Daniel Rueckert , Wenjia Bai

Estimating the shape and motion state of the myocardium is essential in diagnosing cardiovascular diseases.However, cine magnetic resonance (CMR) imaging is dominated by 2D slices, whose large slice spacing challenges inter-slice shape…

Computer Vision and Pattern Recognition · Computer Science 2023-08-29 Xiaohan Yuan , Cong Liu , Yangang Wang

3D motion estimation from cine cardiac magnetic resonance (CMR) images is important for the assessment of cardiac function and diagnosis of cardiovascular diseases. Most of the previous methods focus on estimating pixel-/voxel-wise motion…

Image and Video Processing · Electrical Eng. & Systems 2022-09-07 Qingjie Meng , Wenjia Bai , Tianrui Liu , Declan P O'Regan , Daniel Rueckert

Cardiac digital twins (CDTs) provide personalized in-silico cardiac representations and hold great potential for precision medicine in cardiology. However, whole-heart CDT models that simulate the full organ-scale electromechanics of all…

Image and Video Processing · Electrical Eng. & Systems 2025-07-22 Xiaoyue Liu , Xicheng Sheng , Xiahai Zhuang , Vicente Grau , Mark YY Chan , Ching-Hui Sia , Lei Li

Reconstructing 4D (3D+t) cardiac geometry from sparse 2D echocardiography is highly desirable yet fundamentally challenged by geometric ambiguity and temporal discontinuity. To tackle these issues, we propose Echo4DIR, a novel test-time 4D…

Computer Vision and Pattern Recognition · Computer Science 2026-05-22 Yanan Liu , Qinya Li , Hao Zhang , Kangjian He , Xuan Yang , Hao Li , Dan Xu , Lei Li

Purpose: To develop a MRI acquisition and reconstruction framework for volumetric cine visualisation of the fetal heart and great vessels in the presence of maternal and fetal motion. Methods: Four-dimensional depiction was achieved using a…

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

Joint 2D cardiac segmentation and 3D volume reconstruction are fundamental to building statistical cardiac anatomy models and understanding functional mechanisms from motion patterns. However, due to the low through-plane resolution of cine…

Computer Vision and Pattern Recognition · Computer Science 2022-06-16 Qi Chang , Zhennan Yan , Mu Zhou , Di Liu , Khalid Sawalha , Meng Ye , Qilong Zhangli , Mikael Kanski , Subhi Al Aref , Leon Axel , Dimitris Metaxas

Cardiac function evaluation necessitates continuous, non-invasive monitoring, a capability limited in MRI. Millimeter-wave (mmWave) radar and its Synthetic Aperture Radar (SAR) mode offer a privacy-preserving and portable point-of-care…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Jinye Li , Chenxi Fu , Minghang Zheng , Yang Liu , Xiahai Zhuang , Qingchao Chen

Echocardiogram is the most commonly used imaging modality in cardiac assessment duo to its non-invasive nature, real-time capability, and cost-effectiveness. Despite its advantages, most clinical echocardiograms provide only two-dimensional…

Image and Video Processing · Electrical Eng. & Systems 2025-05-12 Xilin Gong , Yongkai Chen , Shushan Wu , Fang Wang , Ping Ma , Wenxuan Zhong

Echocardiography (echo) plays an indispensable role in the clinical practice of heart diseases. However, ultrasound imaging typically provides only two-dimensional (2D) cross-sectional images from a few specific views, making it challenging…

Image and Video Processing · Electrical Eng. & Systems 2025-07-04 Zhurong Chen , Jinhua Chen , Wei Zhuo , Wufeng Xue , Dong Ni

Background: Three-dimensional, whole heart, balanced steady state free precession (WH-bSSFP) sequences provide delineation of intra-cardiac and vascular anatomy. However, they have long acquisition times. Here, we propose significant speed…

Image and Video Processing · Electrical Eng. & Systems 2019-12-24 Jennifer A. Steeden , Michael Quail , Alexander Gotschy , Andreas Hauptmann , Simon Arridge , Rodney Jones , Vivek Muthurangu

Current cardiac cine magnetic resonance image (cMR) studies focus on the end diastole (ED) and end systole (ES) phases, while ignoring the abundant temporal information in the whole image sequence. This is because whole sequence…

Computer Vision and Pattern Recognition · Computer Science 2024-11-04 Meng Ye , Bingyu Xin , Leon Axel , Dimitris Metaxas

Image-based computer simulation of cardiac function can be used to probe the mechanisms of (patho)physiology, and guide diagnosis and personalized treatment of cardiac diseases. This paradigm requires constructing simulation-ready meshes of…

Image and Video Processing · Electrical Eng. & Systems 2021-07-23 Fanwei Kong , Shawn C. Shadden
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