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Segmentation of the left atrium (LA) is crucial for assessing its anatomy in both pre-operative atrial fibrillation (AF) ablation planning and post-operative follow-up studies. In this paper, we present a fully automated framework for left…

Computer Vision and Pattern Recognition · Computer Science 2019-02-28 Chen Chen , Wenjia Bai , Daniel Rueckert

Late gadolinium enhancement magnetic resonance imaging (LGE MRI) is commonly used to visualize and quantify left atrial (LA) scars. The position and extent of scars provide important information of the pathophysiology and progression of…

Computer Vision and Pattern Recognition · Computer Science 2022-01-11 Lei Li , Veronika A. Zimmer , Julia A. Schnabel , Xiahai Zhuang

Late gadolinium enhancement magnetic resonance imaging (LGE-MRI) is used to visualise atrial fibrosis and scars, providing important information for personalised atrial fibrillation (AF) treatments. Since manual analysis and delineations of…

Image and Video Processing · Electrical Eng. & Systems 2025-04-04 Y. On , C. Galazis , C. Chiu , M. Varela

The accurate evaluation of left atrial fibrosis via high-quality 3D Late Gadolinium Enhancement (LGE) MRI is crucial for atrial fibrillation management but is hindered by factors like patient movement and imaging variability. The pursuit of…

Cardiac MRI late gadolinium enhancement (LGE) enables non-invasive identification of left atrial (LA) scar, whose spatial distribution is strongly associated with atrial fibrillation (AF) severity and recurrence. However, automatic LA scar…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Jing Zhang , Bastien Bergere , Emilie Bollache , Jonas Leite , Mikaël Laredo , Alban Redheuil , Nadjia Kachenoura

Accurate cardiac computing, analysis and modeling from multi-modality images are important for the diagnosis and treatment of cardiac disease. Late gadolinium enhancement magnetic resonance imaging (LGE MRI) is a promising technique to…

Image and Video Processing · Electrical Eng. & Systems 2021-11-10 Lei Li , Fuping Wu , Sihang Wang , Xiahai Zhuang

Left atrial (LA) segmentation from late gadolinium enhanced magnetic resonance imaging (LGE MRI) is a crucial step needed for planning the treatment of atrial fibrillation. However, automatic LA segmentation from LGE MRI is still…

Image and Video Processing · Electrical Eng. & Systems 2021-07-06 Lei Li , Veronika A. Zimmer , Julia A. Schnabel , Xiahai Zhuang

Late gadolinium enhancement (LGE) cardiac MRI (CMR) is the clinical standard for diagnosis of myocardial scar. 3D isotropic LGE CMR provides improved coverage and resolution compared to 2D imaging. However, image acceleration is required…

Image and Video Processing · Electrical Eng. & Systems 2021-06-02 Burhaneddin Yaman , Chetan Shenoy , Zilin Deng , Steen Moeller , Hossam El-Rewaidy , Reza Nezafat , Mehmet Akçakaya

Accurate segmentation of the cardiac boundaries in late gadolinium enhancement magnetic resonance images (LGE-MRI) is a fundamental step for accurate quantification of scar tissue. However, while there are many solutions for automatic…

Image and Video Processing · Electrical Eng. & Systems 2020-01-14 Víctor M. Campello , Carlos Martín-Isla , Cristian Izquierdo , Steffen E. Petersen , Miguel A. González Ballester , Karim Lekadir

Visualizing disease-induced scarring and fibrosis in the heart on cardiac magnetic resonance (CMR) imaging with contrast enhancement (LGE) is paramount in characterizing disease progression and quantifying pathophysiological substrates of…

Image and Video Processing · Electrical Eng. & Systems 2021-01-12 Haley G. Abramson , Dan M. Popescu , Rebecca Yu , Changxin Lai , Julie K. Shade , Katherine C. Wu , Mauro Maggioni , Natalia A. Trayanova

Three-dimensional late gadolinium enhanced (LGE) cardiac MR (CMR) of left atrial scar in patients with atrial fibrillation (AF) has recently emerged as a promising technique to stratify patients, to guide ablation therapy and to predict…

Image and Video Processing · Electrical Eng. & Systems 2020-02-04 Guang Yang , Jun Chen , Zhifan Gao , Shuo Li , Hao Ni , Elsa Angelini , Tom Wong , Raad Mohiaddin , Eva Nyktari , Ricardo Wage , Lei Xu , Yanping Zhang , Xiuquan Du , Heye Zhang , David Firmin , Jennifer Keegan

Late Gadolinium Enhanced Cardiac MRI (LGE-CMRI) for detecting atrial scars in atrial fibrillation (AF) patients has recently emerged as a promising technique to stratify patients, guide ablation therapy and predict treatment success.…

Computer Vision and Pattern Recognition · Computer Science 2018-06-13 Jun Chen , Guang Yang , Zhifan Gao , Hao Ni , Elsa Angelini , Raad Mohiaddin , Tom Wong , Yanping Zhang , Xiuquan Du , Heye Zhang , Jennifer Keegan , David Firmin

Segmentation of cardiac images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) widely used for visualizing diseased cardiac structures, is a crucial first step for clinical diagnosis and treatment. However,…

Late Gadolinium Enhancement Magnetic Resonance Imaging (LGE MRI) emerged as a routine scan for patients with atrial fibrillation (AF). However, due to the low image quality automating the quantification and analysis of the atrial scars is…

Computer Vision and Pattern Recognition · Computer Science 2018-10-23 Lei Li , Fuping Wu , Guang Yang , Tom Wong , Raad Mohiaddin , David Firmin , Jenny Keegan , Lingchao Xu , Xiahai Zhuang

Purpose: Atrial fibrillation (AF) is the most common cardiac arrhythmia and is correlated with increased morbidity and mortality. It is associated with atrial fibrosis, which may be assessed non-invasively using late gadolinium-enhanced…

Computer Vision and Pattern Recognition · Computer Science 2018-07-04 Guang Yang , Xiahai Zhuang , Habib Khan , Shouvik Haldar , Eva Nyktari , Lei Li , Rick Wage , Xujiong Ye , Greg Slabaugh , Raad Mohiaddin , Tom Wong , Jennifer Keegan , David Firmin

Late gadolinium enhancement (LGE) imaging is the clinical standard for myocardial scar assessment, but limited annotated datasets hinder the development of automated segmentation methods. We propose a novel framework that synthesises both…

Computer Vision and Pattern Recognition · Computer Science 2026-02-13 Soufiane Ben Haddou , Laura Alvarez-Florez , Erik J. Bekkers , Fleur V. Y. Tjong , Ahmad S. Amin , Connie R. Bezzina , Ivana Išgum

Atrial fibrillation (AF) is the most prevalent form of cardiac arrhythmia and is associated with increased morbidity and mortality. The effectiveness of current clinical interventions for AF is often limited by an incomplete understanding…

Image and Video Processing · Electrical Eng. & Systems 2024-09-25 Lucas Beveridge , Le Zhang

Automatic segmentation of the left ventricle (LV) in late gadolinium enhanced (LGE) cardiac MR (CMR) images is difficult due to the intensity heterogeneity arising from accumulation of contrast agent in infarcted myocardium. In this paper,…

Image and Video Processing · Electrical Eng. & Systems 2022-05-24 Dong Wei , Ying Sun , Sim-Heng Ong , Ping Chai , Lynette L. Teo , Adrian F. Low

Atrial fibrillation (AF), the most common cardiac arrhythmia, is associated with heart failure and stroke. Accurate segmentation of the left atrium (LA) in 3D late gadolinium-enhanced (LGE) MRI is helpful for evaluating AF, as fibrotic…

Image and Video Processing · Electrical Eng. & Systems 2024-11-12 Mehri Mehrnia , Mohamed Elbayumi , Mohammed S. M. Elbaz

Late gadolinium enhanced (LGE) cardiac magnetic resonance (CMR) can directly visualize nonviable myocardium with hyperenhanced intensities with respect to normal myocardium. For heart attack patients, it is crucial to facilitate the…

Image and Video Processing · Electrical Eng. & Systems 2022-05-24 Dong Wei , Ying Sun , Sim-Heng Ong , Ping Chai , Lynette L Teo , Adrian F Low
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