English
Related papers

Related papers: AtrialGeneral: Domain Generalization for Left Atri…

200 papers

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

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

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 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

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

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

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

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

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

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 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

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

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

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

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,…

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

Atrial fibrillation (AF) is a cardiovascular disease identified as one of the main risk factors for stroke. The majority of strokes due to AF are caused by clots originating in the left atrial appendage (LAA). LAA occlusion is an effective…

Image and Video Processing · Electrical Eng. & Systems 2022-05-16 Hrvoje Leventić , Marin Benčević , Danilo Babin , Marija Habijan , Irena Galić

Segmentation of the left atrial (LA) wall and endocardium from late gadolinium-enhanced (LGE) MRI is essential for quantifying atrial fibrosis in patients with atrial fibrillation. The development of accurate machine learning-based…

Computer Vision and Pattern Recognition · Computer Science 2026-04-17 Yusri Al-Sanaani , Rebecca Thornhill , Sreeraman Rajan
‹ Prev 1 2 3 10 Next ›