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相关论文: Fully Automated Left Atrium Cavity Segmentation fr…

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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…

计算机视觉与模式识别 · 计算机科学 2019-02-28 Chen Chen , Wenjia Bai , Daniel Rueckert

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…

计算机视觉与模式识别 · 计算机科学 2018-12-17 Xin Yang , Na Wang , Yi Wang , Xu Wang , Reza Nezafat , Dong Ni , Pheng-Ann Heng

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…

图像与视频处理 · 电气工程与系统科学 2021-07-06 Lei Li , Veronika A. Zimmer , Julia A. Schnabel , Xiahai Zhuang

Accurately segmenting left atrium in MR volume can benefit the ablation procedure of atrial fibrillation. Traditional automated solutions often fail in relieving experts from the labor-intensive manual labeling. In this paper, we propose a…

计算机视觉与模式识别 · 计算机科学 2018-12-17 Cheng Bian , Xin Yang , Jianqiang Ma , Shen Zheng , Yu-An Liu , Reza Nezafat , Pheng-Ann Heng , Yefeng 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…

图像与视频处理 · 电气工程与系统科学 2024-07-11 K M Arefeen Sultan , Benjamin Orkild , Alan Morris , Eugene Kholmovski , Erik Bieging , Eugene Kwan , Ravi Ranjan , Ed DiBella , Shireen Elhabian

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…

计算机视觉与模式识别 · 计算机科学 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…

图像与视频处理 · 电气工程与系统科学 2025-04-04 Y. On , C. Galazis , C. Chiu , M. 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…

计算机视觉与模式识别 · 计算机科学 2018-12-07 Shuman Jia , Antoine Despinasse , Zihao Wang , Hervé Delingette , Xavier Pennec , Pierre Jaïs , Hubert Cochet , Maxime Sermesant

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,…

图像与视频处理 · 电气工程与系统科学 2022-05-24 Dong Wei , Ying Sun , Sim-Heng Ong , Ping Chai , Lynette L. Teo , Adrian F. Low

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…

图像与视频处理 · 电气工程与系统科学 2024-11-12 Mehri Mehrnia , Mohamed Elbayumi , Mohammed S. M. Elbaz

This study proposes a fully automated approach for the left atrial segmentation from routine cine long-axis cardiac magnetic resonance image sequences using deep convolutional neural networks and Bayesian filtering. The proposed approach…

计算机视觉与模式识别 · 计算机科学 2020-11-30 Xiaoran Zhang , Michelle Noga , David Glynn Martin , Kumaradevan Punithakumar

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…

计算机视觉与模式识别 · 计算机科学 2022-01-11 Lei Li , Veronika A. Zimmer , Julia A. Schnabel , Xiahai Zhuang

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…

计算机视觉与模式识别 · 计算机科学 2018-10-23 Lei Li , Fuping Wu , Guang Yang , Tom Wong , Raad Mohiaddin , David Firmin , Jenny Keegan , Lingchao Xu , Xiahai Zhuang

Unlike Right Atrium (RA), Left Atrium (LA) presents distinctive challenges, including much thinner myocardial walls, complex and irregular morphology, as well as diversity in individual's structure, making off-the-shelf methods designed for…

图像与视频处理 · 电气工程与系统科学 2024-05-29 Abdul Qayyum , Moona Mazher , Angela Lee , Jose A Solis-Lemus , Imran Razzak , Steven A Niederer

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…

图像与视频处理 · 电气工程与系统科学 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

We report our multi-stage framework designed for the problem of multi-class bi-atrial segmentation from 3D late gadolinium-enhanced (LGE) MRI of the human heart. The pipeline consists of a preprocessing step using multidimensional contrast…

计算机视觉与模式识别 · 计算机科学 2026-04-30 Hao Wen , Jingsu Kang

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…

图像与视频处理 · 电气工程与系统科学 2025-11-08 Fatemeh Hosseinabadi , Seyedhassan Sharifi

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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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
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