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Background: Late Gadolinium Enhancement (LGE) imaging is the gold standard for assessing myocardial fibrosis and scarring, with left ventricular (LV) LGE extent predicting major adverse cardiac events (MACE). Despite its importance, routine…

The goal of this project is to use magnetic resonance imaging (MRI) data to provide an end-to-end analytics pipeline for left and right ventricle (LV and RV) segmentation. Another aim of the project is to find a model that would be…

图像与视频处理 · 电气工程与系统科学 2019-09-19 Bosung Seo , Daniel Mariano , John Beckfield , Vinay Madenur , Yuming Hu , Tony Reina , Marcus Bobar , Mai H. Nguyen , Ilkay Altintas

Accurate reorientation and segmentation of the left ventricular (LV) is essential for the quantitative analysis of myocardial perfusion imaging (MPI), in which one critical step is to reorient the reconstructed transaxial nuclear cardiac…

图像与视频处理 · 电气工程与系统科学 2023-10-17 Yangfan Ni , Duo Zhang , Gege Ma , Lijun Lu , Zhongke Huang , Wentao Zhu

Automatic segmentation of the heart cavity is an essential task for the diagnosis of cardiac diseases. In this paper, we propose a semi-supervised segmentation setup for leveraging unlabeled data to segment Left-ventricle, Right-ventricle,…

图像与视频处理 · 电气工程与系统科学 2023-02-23 Mahyar Bolhassani , Ilkay Oksuz

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…

图像与视频处理 · 电气工程与系统科学 2020-08-19 Xiaoran Zhang , Michelle Noga , Kumaradevan Punithakumar

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…

图像与视频处理 · 电气工程与系统科学 2019-06-26 Qian Yue , Xinzhe Luo , Qing Ye , Lingchao Xu , Xiahai Zhuang

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…

LGE CMR is an efficient technology for detecting infarcted myocardium. An efficient and objective ventricle segmentation method in LGE can benefit the location of the infarcted myocardium. In this paper, we proposed an automatic framework…

图像与视频处理 · 电气工程与系统科学 2019-09-19 Yashu Liu , Wei Wang , Kuanquan Wang , Chengqin Ye , Gongning Luo

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…

计算机视觉与模式识别 · 计算机科学 2022-04-27 Ezequiel de la Rosa , Désiré Sidibé , Thomas Decourselle , Thibault Leclercq , Alexandre Cochet , Alain Lalande

Cardiac left ventricular (LV) segmentation from short-axis MRI acquired 10 minutes after the injection of a contrast agent (LGE-MRI) is a necessary step in the processing allowing the identification and diagnosis of cardiac diseases such as…

图像与视频处理 · 电气工程与系统科学 2020-06-02 Abdul Qayyum , Alain Lalande , Thomas Decourselle , Thibaut Pommier , Alexandre Cochet , Fabrice Meriaudeau

In cardiac Magnetic Resonance Imaging (MRI) analysis, simultaneous myocardial segmentation and T2 quantification are crucial for assessing myocardial pathologies. Existing methods often address these tasks separately, limiting their…

Automatic and accurate segmentation of the ventricles and myocardium from multi-sequence cardiac MRI (CMR) is crucial for the diagnosis and treatment management for patients suffering from myocardial infarction (MI). However, due to the…

图像与视频处理 · 电气工程与系统科学 2019-10-29 Jiexiang Wang , Hongyu Huang , Chaoqi Chen , Wenao Ma , Yue Huang , Xinghao Ding

Automated noninvasive cardiac diagnosis plays a critical role in the early detection of cardiac disorders and cost-effective clinical management. Automated diagnosis involves the automated segmentation and analysis of cardiac images.…

图像与视频处理 · 电气工程与系统科学 2025-04-21 Racheal Mukisa , Arvind K. Bansal

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…

图像与视频处理 · 电气工程与系统科学 2020-01-14 Víctor M. Campello , Carlos Martín-Isla , Cristian Izquierdo , Steffen E. Petersen , Miguel A. González Ballester , Karim Lekadir

The morphological structure of left ventricle segmented from cardiac magnetic resonance images can be used to calculate key clinical parameters, and it is of great significance to the accurate and efficient diagnosis of cardiovascular…

计算机视觉与模式识别 · 计算机科学 2018-09-28 Han Kang , Defeng Chen

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…

图像与视频处理 · 电气工程与系统科学 2024-09-20 Franz Thaler , Darko Stern , Gernot Plank , Martin Urschler

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…

图像与视频处理 · 电气工程与系统科学 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 (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)…

图像与视频处理 · 电气工程与系统科学 2025-05-15 Matthias Schwab , Mathias Pamminger , Christian Kremser , Daniel Obmann , Markus Haltmeier , Agnes Mayr

In the United States, heart disease is the leading cause of death for both men and women, accounting for 610,000 deaths each year [1]. Physicians use Magnetic Resonance Imaging (MRI) scans to take images of the heart in order to…

计算机视觉与模式识别 · 计算机科学 2018-11-22 Ehab Abdelmaguid , Jolene Huang , Sanjay Kenchareddy , Disha Singla , Laura Wilke , Mai H. Nguyen , Ilkay Altintas

Magnetic Resonance Imaging (MRI) has evolved as a clinical standard-of-care imaging modality for cardiac morphology, function assessment, and guidance of cardiac interventions. All these applications rely on accurate extraction of the…

计算机视觉与模式识别 · 计算机科学 2016-11-07 Shusil Dangi , Nathan Cahill , Cristian A. Linte
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