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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

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

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

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

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

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, characterised by a rapid and irregular electrical activation of the atria. Treatments for AF are often ineffective and few atrial biomarkers exist to automatically…

Image and Video Processing · Electrical Eng. & Systems 2020-09-01 Ana Lourenço , Eric Kerfoot , Connor Dibblin , Ebraham Alskaf , Mustafa Anjari , Anil A Bharath , Andrew P King , Henry Chubb , Teresa M Correia , Marta Varela

Atrial fibrillation (AF) is the most common cardiac arrhythmia, which is clinically identified with irregular and rapid heartbeat rhythm. AF puts a patient at risk of forming blood clots, which can eventually lead to heart failure, stroke,…

Signal Processing · Electrical Eng. & Systems 2023-06-28 Jianxin Xie , Stavros Stavrakis , Bing Yao

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

Radiological imaging offers effective measurement of anatomy, which is useful in disease diagnosis and assessment. Previous study has shown that the left atrial wall remodeling can provide information to predict treatment outcome in atrial…

Computer Vision and Pattern Recognition · Computer Science 2018-12-07 Shuman Jia , Antoine Despinasse , Zihao Wang , Hervé Delingette , Xavier Pennec , Pierre Jaïs , Hubert Cochet , Maxime Sermesant

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

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

Segmentation of the left atrial chamber and assessing its morphology, are essential for improving our understanding of atrial fibrillation, the most common type of cardiac arrhythmia. Automation of this process in 3D gadolinium enhanced-MRI…

Computer Vision and Pattern Recognition · Computer Science 2019-12-04 Sulaiman Vesal , Nishant Ravikumar , Andreas Maier

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

The complexity of the patterns associated with Atrial Fibrillation (AF) and the high level of noise affecting these patterns have significantly limited the current signal processing and shallow machine learning approaches to get accurate AF…

Quantitative Methods · Quantitative Biology 2019-02-18 Sajad Mousavi , Fatemeh Afghah , Abolfazl Razi , U. Rajendra Acharya

Accurate segmentation of medical images into anatomically meaningful regions is critical for the extraction of quantitative indices or biomarkers. The common pipeline for segmentation comprises regions of interest detection stage and…

Computer Vision and Pattern Recognition · Computer Science 2021-06-18 Ghada Zamzmi , Vandana Sachdev , Sameer Antani

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

Atrial Fibrillation (AF) is a common electro-physiological cardiac disorder that causes changes in the anatomy of the atria. A better characterization of these changes is desirable for the definition of clinical biomarkers, furthermore,…

Machine Learning · Statistics 2018-09-28 Nicoló Savioli , Giovanni Montana , Pablo Lamata

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

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

Left atrium shape has been shown to be an independent predictor of recurrence after atrial fibrillation (AF) ablation. Shape-based representation is imperative to such an estimation process, where correspondence-based representation offers…

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