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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

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

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

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

Automatic segmentation of left atrial (LA) scars from late gadolinium enhanced CMR images is a crucial step for atrial fibrillation (AF) recurrence analysis. However, delineating LA scars is tedious and error-prone due to the variation of…

Image and Video Processing · Electrical Eng. & Systems 2022-08-11 Mengjun Wu , Wangbin Ding , Mingjin Yang , Liqin Huang

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

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

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

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

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

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

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

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

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

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

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

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

Accurate assessment of left atrial fibrosis in patients with atrial fibrillation relies on high-quality 3D late gadolinium enhancement (LGE) MRI images. However, obtaining such images is challenging due to patient motion, changing breathing…

Image and Video Processing · Electrical Eng. & Systems 2024-07-11 K M Arefeen Sultan , Benjamin Orkild , Alan Morris , Eugene Kholmovski , Erik Bieging , Eugene Kwan , Ravi Ranjan , Ed DiBella , Shireen Elhabian

Segmenting the left atrial (LA) wall from late gadolinium enhancement magnetic resonance imaging (LGE-MRI) is challenging because of its thin geometry, low contrast, and limited expert annotations. We propose a model-agnostic meta-learning…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Yusri Al-Sanaani , Rebecca Thornhill , Pablo Nery , Elena Pena , Robert deKemp , Calum Redpath , David Birnie , Sreeraman Rajan

Atrial Fibrillation (AF), the most common sustained cardiac arrhythmia worldwide, increasingly requires accurate bi-atrial structural assessment to guide ablation strategies, particularly in persistent AF. Late gadolinium-enhanced magnetic…

Image and Video Processing · Electrical Eng. & Systems 2025-10-07 Malitha Gunawardhana , Mark L Trew , Gregory B Sands , Jichao Zhao
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