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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

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

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) 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

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

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

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

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

Cardiac segmentation from late gadolinium enhancement MRI is an important task in clinics to identify and evaluate the infarction of myocardium. The automatic segmentation is however still challenging, due to the heterogeneous intensity…

Image and Video Processing · Electrical Eng. & Systems 2019-06-26 Qian Yue , Xinzhe Luo , Qing Ye , Lingchao Xu , Xiahai Zhuang

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

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

Functional analysis of the left atrium (LA) plays an increasingly important role in the prognosis and diagnosis of cardiovascular diseases. Echocardiography-based measurements of LA dimensions and strains are useful biomarkers, but they…

Image and Video Processing · Electrical Eng. & Systems 2023-09-06 Christoforos Galazis , Anil Anthony Bharath , Marta Varela

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

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

Accurate segmentation of the left atrium (LA) from late gadolinium-enhanced magnetic resonance imaging plays a vital role in visualizing diseased atrial structures, enabling the diagnosis and management of cardiovascular diseases. It is…

Computer Vision and Pattern Recognition · Computer Science 2025-02-11 Bipasha Kundu , Zixin Yang , Richard Simon , Cristian Linte

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

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

Thanks to the capacity for long-range dependencies and robustness to irregular shapes, vision transformers and deformable convolutions are emerging as powerful vision techniques of segmentation.Meanwhile, Graph Convolution Networks (GCN)…

Computer Vision and Pattern Recognition · Computer Science 2022-10-12 Tianyi Liu , Size Hou , Jiayuan Zhu , Zilong Zhao , Haochuan Jiang

Segmentation of the Left ventricle (LV) is a crucial step for quantitative measurements such as area, volume, and ejection fraction. However, the automatic LV segmentation in 2D echocardiographic images is a challenging task due to…

Image and Video Processing · Electrical Eng. & Systems 2019-12-24 Shakiba Moradi , Mostafa Ghelich-Oghli , Azin Alizadehasl , Isaac Shiri , Niki Oveisi , Mehrdad Oveisi , Majid Maleki , Jan Dhooge
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