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相关论文: Cardiac Segmentation of LGE MRI with Noisy Labels

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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…

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…

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

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

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…

图像与视频处理 · 电气工程与系统科学 2021-11-10 Lei Li , Fuping Wu , Sihang Wang , Xiahai Zhuang

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

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

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

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…

图像与视频处理 · 电气工程与系统科学 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…

图像与视频处理 · 电气工程与系统科学 2021-07-01 Yinzhe Wu , Zeyu Tang , Binghuan Li , David Firmin , Guang Yang

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

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…

计算机视觉与模式识别 · 计算机科学 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…

图像与视频处理 · 电气工程与系统科学 2019-08-15 Xumin Tao , Hongrong Wei , Wufeng Xue , Dong Ni

Cardiac Magnetic Resonance imaging (CMR) is the gold standard for assessing cardiac function. Segmenting the left ventricle (LV), right ventricle (RV), and LV myocardium (MYO) in CMR images is crucial but time-consuming. Deep learning-based…

图像与视频处理 · 电气工程与系统科学 2023-09-06 Zihao Chen , Xiao Chen , Yikang Liu , Eric Z. Chen , Terrence Chen , Shanhui Sun

In this work, we present a fully automatic method to segment cardiac structures from late-gadolinium enhanced (LGE) images without using labelled LGE data for training, but instead by transferring the anatomical knowledge and features…

图像与视频处理 · 电气工程与系统科学 2020-02-06 Chen Chen , Cheng Ouyang , Giacomo Tarroni , Jo Schlemper , Huaqi Qiu , Wenjia Bai , Daniel Rueckert

Accurate segmentation of cardiac structures can assist doctors to diagnose diseases, and to improve treatment planning, which is highly demanded in the clinical practice. However, the shortage of annotation and the variance of the data…

图像与视频处理 · 电气工程与系统科学 2022-08-05 Yao Zhang , Jiawei Yang , Feng Hou , Yang Liu , Yixin Wang , Jiang Tian , Cheng Zhong , Yang Zhang , Zhiqiang He

Accurate segmentation of the heart is an important step towards evaluating cardiac function. In this paper, we present a fully automated framework for segmentation of the left (LV) and right (RV) ventricular cavities and the myocardium…

计算机视觉与模式识别 · 计算机科学 2017-10-11 Christian F. Baumgartner , Lisa M. Koch , Marc Pollefeys , Ender Konukoglu

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…

图像与视频处理 · 电气工程与系统科学 2025-01-10 Guang Yang , Jingkun Chen , Xicheng Sheng , Shan Yang , Xiahai Zhuang , Betty Raman , Lei Li , Vicente Grau

Broadly speaking, the objective in cardiac image segmentation is to delineate the outer and inner walls of the heart to segment out either the entire or parts of the organ boundaries. This paper will focus on MR images as they are the most…

计算机视觉与模式识别 · 计算机科学 2015-02-17 Tizita Nesibu Shewaye

Medical image analysis, especially segmenting a specific organ, has an important role in developing clinical decision support systems. In cardiac magnetic resonance (MR) imaging, segmenting the left and right ventricles helps physicians…

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