English
Related papers

Related papers: Multi-Modality Cardiac Image Analysis with Deep Le…

200 papers

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 computing, analysis and modeling of the ventricles and myocardium from medical images are important, especially in the diagnosis and treatment management for patients suffering from myocardial infarction (MI). Late gadolinium…

Significance: Late gadolinium enhanced magnetic resonance imaging (LGE-MRI) is the gold standard technique for myocardial viability assessment. Although the technique accurately reflects the damaged tissue, there is no clinical standard for…

Computer Vision and Pattern Recognition · Computer Science 2022-04-27 Ezequiel de la Rosa , Désiré Sidibé , Thomas Decourselle , Thibault Leclercq , Alexandre Cochet , Alain Lalande

Late gadolinium enhanced (LGE) cardiac magnetic resonance (CMR) can directly visualize nonviable myocardium with hyperenhanced intensities with respect to normal myocardium. For heart attack patients, it is crucial to facilitate the…

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 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

Segmentation of cardiac fibrosis and scar are essential for clinical diagnosis and can provide invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) has been…

Image and Video Processing · Electrical Eng. & Systems 2021-07-01 Yinzhe Wu , Zeyu Tang , Binghuan Li , David Firmin , Guang Yang

Visualizing disease-induced scarring and fibrosis in the heart on cardiac magnetic resonance (CMR) imaging with contrast enhancement (LGE) is paramount in characterizing disease progression and quantifying pathophysiological substrates of…

Image and Video Processing · Electrical Eng. & Systems 2021-01-12 Haley G. Abramson , Dan M. Popescu , Rebecca Yu , Changxin Lai , Julie K. Shade , Katherine C. Wu , Mauro Maggioni , Natalia A. Trayanova

Late gadolinium enhancement MRI (LGE MRI) is the gold standard for the detection of myocardial scars for post myocardial infarction (MI). LGE MRI requires the injection of a contrast agent, which carries potential side effects and increases…

Image and Video Processing · Electrical Eng. & Systems 2025-01-10 Guang Yang , Jingkun Chen , Xicheng Sheng , Shan Yang , Xiahai Zhuang , Betty Raman , Lei Li , Vicente Grau

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

Late gadolinium enhancement (LGE) cardiac MRI (CMR) is the clinical standard for diagnosis of myocardial scar. 3D isotropic LGE CMR provides improved coverage and resolution compared to 2D imaging. However, image acceleration is required…

Image and Video Processing · Electrical Eng. & Systems 2021-06-02 Burhaneddin Yaman , Chetan Shenoy , Zilin Deng , Steen Moeller , Hossam El-Rewaidy , Reza Nezafat , Mehmet Akçakaya

Accurate segmentation of myocardial scar from late gadolinium enhanced (LGE) cardiac MRI is essential for evaluating tissue viability, yet remains challenging due to variable contrast and imaging artifacts. Electrocardiogram (ECG) signals…

Computer Vision and Pattern Recognition · Computer Science 2026-04-02 Farheen Ramzan , Yusuf Kiberu , Nikesh Jathanna , Meryem Jabrane , Vicente Grau , Shahnaz Jamil-Copley , Richard H. Clayton , Chen , Chen

Automatic segmentation of myocardium in Late Gadolinium Enhanced (LGE) Cardiac MR (CMR) images is often difficult due to the intensity heterogeneity resulting from accumulation of contrast agent in infarcted areas. In this paper, we propose…

Image and Video Processing · Electrical Eng. & Systems 2022-05-24 Dong Wei , Ying Sun , Ping Chai , Adrian Low , Sim Heng Ong

Late gadolinium enhancement (LGE) imaging is the clinical standard for myocardial scar assessment, but limited annotated datasets hinder the development of automated segmentation methods. We propose a novel framework that synthesises both…

Computer Vision and Pattern Recognition · Computer Science 2026-02-13 Soufiane Ben Haddou , Laura Alvarez-Florez , Erik J. Bekkers , Fleur V. Y. Tjong , Ahmad S. Amin , Connie R. Bezzina , Ivana Išgum

Myocardium segmentation of late gadolinium enhancement (LGE) Cardiac MR images is important for evaluation of infarction regions in clinical practice. The pathological myocardium in LGE images presents distinctive brightness and textures…

Image and Video Processing · Electrical Eng. & Systems 2019-08-15 Xumin Tao , Hongrong Wei , Wufeng Xue , Dong Ni

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

In this work, we attempt the segmentation of cardiac structures in late gadolinium-enhanced (LGE) magnetic resonance images (MRI) using only minimal supervision in a two-step approach. In the first step, we register a small set of five LGE…

Image and Video Processing · Electrical Eng. & Systems 2019-10-04 Holger Roth , Wentao Zhu , Dong Yang , Ziyue Xu , Daguang Xu

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

Identification and quantification of myocardial scar is important for diagnosis and prognosis of cardiovascular diseases. However, reliable scar segmentation from Late Gadolinium Enhancement Cardiac Magnetic Resonance (LGE-CMR) images…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Nivetha Jayakumar , Jonathan Pan , Shuo Wang , Bishow Paudel , Nisha Hosadurg , Cristiane C. Singulane , Sivam Bhatt , Amit R. Patel , Miaomiao Zhang

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

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
‹ Prev 1 2 3 10 Next ›