English
Related papers

Related papers: CineMyoPS: Segmenting Myocardial Pathologies from …

200 papers

Myocardial pathology segmentation (MyoPS) is critical for the risk stratification and treatment planning of myocardial infarction (MI). Multi-sequence cardiac magnetic resonance (MS-CMR) images can provide valuable information. For…

Image and Video Processing · Electrical Eng. & Systems 2023-02-08 Wangbin Ding , Lei Li , Junyi Qiu , Sihan Wang , Liqin Huang , Yinyin Chen , Shan Yang , Xiahai Zhuang

Myocardial pathology segmentation (MyoPS) can be a prerequisite for the accurate diagnosis and treatment planning of myocardial infarction. However, achieving this segmentation is challenging, mainly due to the inadequate and indistinct…

Image and Video Processing · Electrical Eng. & Systems 2022-11-30 Junyi Qiu , Lei Li , Sihan Wang , Ke Zhang , Yinyin Chen , Shan Yang , Xiahai Zhuang

Myocardial infarction (MI) is one of the most prevalent cardiovascular diseases and consequently, a major cause for mortality and morbidity worldwide. Accurate assessment of myocardial tissue viability for post-MI patients is critical for…

Image and Video Processing · Electrical Eng. & Systems 2024-09-20 Franz Thaler , Darko Stern , Gernot Plank , Martin Urschler

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

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

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

Myocardial characterization is essential for patients with myocardial infarction and other myocardial diseases, and the assessment is often performed using cardiac magnetic resonance (CMR) sequences. In this study, we propose a fully…

Image and Video Processing · Electrical Eng. & Systems 2020-08-19 Xiaoran Zhang , Michelle Noga , Kumaradevan Punithakumar

Multi-sequence cardiac magnetic resonance (CMR) provides essential pathology information (scar and edema) to diagnose myocardial infarction. However, automatic pathology segmentation can be challenging due to the difficulty of effectively…

Image and Video Processing · Electrical Eng. & Systems 2022-01-17 Kai-Ni Wang , Xin Yang , Juzheng Miao , Lei Li , Jing Yao , Ping Zhou , Wufeng Xue , Guang-Quan Zhou , Xiahai Zhuang , Dong Ni

Assessment of myocardial viability is essential in diagnosis and treatment management of patients suffering from myocardial infarction, and classification of pathology on myocardium is the key to this assessment. This work defines a new…

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

Cardiomyopathy, a principal contributor to heart failure and sudden cardiac mortality, demands precise early screening. Cardiac Magnetic Resonance (CMR), recognized as the diagnostic 'gold standard' through multiparametric protocols, holds…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Siqing Yuan , Yulin Wang , Zirui Cao , Yueyan Wang , Zehao Weng , Hui Wang , Lei Xu , Zixian Chen , Lei Chen , Zhong Xue , Dinggang Shen

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

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

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

Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) imaging is considered the in vivo reference standard for assessing infarct size (IS) and microvascular obstruction (MVO) in ST-elevation myocardial infarction (STEMI)…

Image and Video Processing · Electrical Eng. & Systems 2025-05-15 Matthias Schwab , Mathias Pamminger , Christian Kremser , Daniel Obmann , Markus Haltmeier , Agnes Mayr

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…

Purpose: To develop and evaluate a deep learning-based method that allows to perform myocardial infarct segmentation in a fully-automated way. Materials and Methods: For this retrospective study, a cascaded framework of two and…

Image and Video Processing · Electrical Eng. & Systems 2025-03-20 Matthias Schwab , Mathias Pamminger , Christian Kremser , Markus Haltmeier , Agnes Mayr

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

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 enhanced (LGE) magnetic resonance (MR) imaging is widely established to assess the viability of myocardial tissue of patients after acute myocardial infarction (MI). We propose the Cascading Refinement CNN (CaRe-CNN), which…

Computer Vision and Pattern Recognition · Computer Science 2023-12-20 Franz Thaler , Matthias A. F. Gsell , Gernot Plank , Martin Urschler
‹ Prev 1 2 3 10 Next ›