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Atrial fibrillation (AF) is the most common cardiac arrhythmia. Accurate segmentation of the left atrial (LA) and LA scars can provide valuable information to predict treatment outcomes in AF. In this paper, we proposed to automatically…

Image and Video Processing · Electrical Eng. & Systems 2023-04-28 Yuchen Zhang , Yanda Meng , Yalin Zheng

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

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

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 magnetic resonance imaging (LGE MRI) appears to be a promising alternative for scar assessment in patients with atrial fibrillation (AF). Automating the quantification and analysis of atrial scars can be…

Computer Vision and Pattern Recognition · Computer Science 2019-02-22 Lei Li , Fuping Wu , Guang Yang , Lingchao Xu , Tom Wong , Raad Mohiaddin , David Firmin , Jennifer Keegan , Xiahai Zhuang

Left atrial (LA) and atrial scar segmentation from late gadolinium enhanced magnetic resonance imaging (LGE MRI) is an important task in clinical practice. %, to guide ablation therapy and predict treatment results for atrial fibrillation…

Image and Video Processing · Electrical Eng. & Systems 2021-11-15 Lei Li , Veronika A. Zimmer , Julia A. Schnabel , Xiahai Zhuang

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

Accurate segmentation and localization of left atrial (LA) ablation scars from Late gadolinium enhancement (LGE)-MRI is essential for assessing the lesion completeness and guiding ablation therapy. Incomplete or discontinuous lesions can…

Image and Video Processing · Electrical Eng. & Systems 2026-05-01 Bipasha Kundu , Cristian Linte

We propose an end-to-end deep neural network (DNN) which can simultaneously segment the left atrial (LA) cavity and quantify LA scars. The framework incorporates the continuous spatial information of the target by introducing a spatially…

Image and Video Processing · Electrical Eng. & Systems 2020-06-24 Lei Li , Xin Weng , Julia A. Schnabel , Xiahai Zhuang

Segmenting left atrium in MR volume holds great potentials in promoting the treatment of atrial fibrillation. However, the varying anatomies, artifacts and low contrasts among tissues hinder the advance of both manual and automated…

Computer Vision and Pattern Recognition · Computer Science 2018-12-17 Xin Yang , Na Wang , Yi Wang , Xu Wang , Reza Nezafat , Dong Ni , Pheng-Ann Heng

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

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

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

Atrial fibrillation (AF) represents the most prevalent type of cardiac arrhythmia for which treatment may require patients to undergo ablation therapy. In this surgery cardiac tissues are locally scarred on purpose to prevent electrical…

Image and Video Processing · Electrical Eng. & Systems 2025-08-07 Franz Thaler , Darko Stern , Gernot Plank , Martin Urschler

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

We present a fully-automated segmentation and quantification of the left atrial (LA) fibrosis and scars combining two cardiac MRIs, one is the target late gadolinium-enhanced (LGE) image, and the other is an anatomical MRI from the same…

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

Accurate segmentation of the left atrium (LA) from cardiac MRI is critical for guiding atrial fibrillation (AF) ablation and constructing biophysical cardiac models. Manual delineation is time-consuming, observer-dependent, and impractical…

Image and Video Processing · Electrical Eng. & Systems 2025-11-08 Fatemeh Hosseinabadi , Seyedhassan Sharifi

Automated identification of myocardial scar from late gadolinium enhancement cardiac magnetic resonance images (LGE-CMR) is limited by image noise and artifacts such as those related to motion and partial volume effect. This paper presents…

Image and Video Processing · Electrical Eng. & Systems 2022-11-14 Jiarui Xing , Shuo Wang , Kenneth C. Bilchick , Amit R. Patel , Miaomiao Zhang

Accurate segmentation of myocardial scar from late gadolinium enhanced (LGE) cardiac MRI is essential for evaluating tissue viability, yet remains challenging due to variable contrast and imaging artifacts. Electrocardiogram (ECG) signals…

Computer Vision and Pattern Recognition · Computer Science 2026-04-02 Farheen Ramzan , Yusuf Kiberu , Nikesh Jathanna , Meryem Jabrane , Vicente Grau , Shahnaz Jamil-Copley , Richard H. Clayton , Chen , Chen

Automated and accurate segmentations of left atrium (LA) and atrial scars from late gadolinium-enhanced cardiac magnetic resonance (LGE CMR) images are in high demand for quantifying atrial scars. The previous quantification of atrial scars…

Image and Video Processing · Electrical Eng. & Systems 2021-05-04 Jun Chen , Guang Yang , Habib Khan , Heye Zhang , Yanping Zhang , Shu Zhao , Raad Mohiaddin , Tom Wong , David Firmin , Jennifer Keegan
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