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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

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

Current artificial intelligence (AI) algorithms for short-axis cardiac magnetic resonance (CMR) segmentation achieve human performance for slices situated in the middle of the heart. However, an often-overlooked fact is that segmentation of…

Image and Video Processing · Electrical Eng. & Systems 2021-09-21 Jorge Mariscal-Harana , Naomi Kifle , Reza Razavi , Andrew P. King , Bram Ruijsink , Esther Puyol-Antón

Cardiac MR image segmentation is essential for the morphological and functional analysis of the heart. Inspired by how experienced clinicians assess the cardiac morphology and function across multiple standard views (i.e. long- and…

Image and Video Processing · Electrical Eng. & Systems 2019-12-18 Chen Chen , Carlo Biffi , Giacomo Tarroni , Steffen Petersen , Wenjia Bai , Daniel Rueckert

We present a novel automated method to segment the myocardium of both left and right ventricles in MRI volumes. The segmentation is consistent in 3D across the slices such that it can be directly used for mesh generation. Two specific…

Computer Vision and Pattern Recognition · Computer Science 2018-03-30 Qiao Zheng , Hervé Delingette , Nicolas Duchateau , Nicholas Ayache

Anatomical and biophysical modeling of left atrium (LA) and proximal pulmonary veins (PPVs) is important for clinical management of several cardiac diseases. Magnetic resonance imaging (MRI) allows qualitative assessment of LA and PPVs…

Computer Vision and Pattern Recognition · Computer Science 2017-05-23 Aliasghar Mortazi , Rashed Karim , Kawal Rhode , Jeremy Burt , Ulas Bagci

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…

Computer Vision and Pattern Recognition · Computer Science 2018-09-28 Han Kang , Defeng Chen

Segmentation of cardiac structures is one of the fundamental steps to estimate volumetric indices of the heart. This step is still performed semi-automatically in clinical routine, and is thus prone to inter- and intra-observer variability.…

Three-dimensional cine-MRI is of crucial importance for assessing the cardiac function. Features that describe the anatomy and function of cardiac structures (e.g. Left Ventricle (LV), Right Ventricle (RV), and Myocardium(MC)) are known to…

Computer Vision and Pattern Recognition · Computer Science 2017-09-12 M. Hossein Eybposh , Mohammad Haghir Ebrahim-Abadi , Mohammad Jalilpour-Monesi , Seyed Saman Saboksayr

Cardiac magnetic resonance (CMR) images play a growing role in the diagnostic imaging of cardiovascular diseases. Full coverage of the left ventricle (LV), from base to apex, is a basic criterion for CMR image quality and necessary for…

Computer Vision and Pattern Recognition · Computer Science 2018-11-09 Le Zhang , Ali Gooya , Marco Pereanez , Bo Dong , Stefan K. Piechnik , Stefan Neubauer , Steffen E. Petersen , Alejandro F. Frangi

Precise segmentation of the left ventricle (LV) within cardiac MRI images is a prerequisite for the quantitative measurement of heart function. However, this task is challenging due to the limited availability of labeled data and motion…

Computer Vision and Pattern Recognition · Computer Science 2018-10-31 Yuanhan Mo , Fangde Liu , Douglas McIlwraith , Guang Yang , Jingqing Zhang , Taigang He , Yike Guo

Left ventricle (LV) segmentation is critical for clinical quantification and diagnosis of cardiac images. In this work, we propose two novel deep learning architectures called LNU-Net and IBU-Net for left ventricle segmentation from…

Computer Vision and Pattern Recognition · Computer Science 2026-01-05 Wenhui Chu , Nikolaos V. Tsekos

Objective: This paper proposes a novel approach for automatic left ventricle (LV) quantification using convolutional neural networks (CNN). Methods: The general framework consists of one CNN for detecting the LV, and another for tissue…

Computer Vision and Pattern Recognition · Computer Science 2018-12-17 Ariel H. Curiale , Flavio D. Colavecchia , German Mato

Background: Cardiac MRI derived biventricular mass and function parameters, such as end-systolic volume (ESV), end-diastolic volume (EDV), ejection fraction (EF), stroke volume (SV), and ventricular mass (VM) are clinically well…

Computer Vision and Pattern Recognition · Computer Science 2017-06-15 Hinrich B Winther , Christian Hundt , Bertil Schmidt , Christoph Czerner , Johann Bauersachs , Frank Wacker , Jens Vogel-Claussen

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…

Image and Video Processing · Electrical Eng. & Systems 2019-09-19 Yashu Liu , Wei Wang , Kuanquan Wang , Chengqin Ye , Gongning Luo

Left ventricular non-compaction (LVNC) is a rare cardiomyopathy characterized by abnormal trabeculations in the left ventricle cavity. Although traditional computer vision approaches exist for LVNC diagnosis, deep learning-based tools could…

Image and Video Processing · Electrical Eng. & Systems 2020-12-01 Jesús M. Rodríguez-de-Vera , Josefa González-Carrillo , José M. García , Gregorio Bernabé

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

An important aspect for an improved cardiac functional analysis is the accurate segmentation of the left ventricle (LV). A novel approach for fully-automated segmentation of the LV endocardium and epicardium contours is presented. This is…

Image and Video Processing · Electrical Eng. & Systems 2019-12-24 Omar S. Al-Kadi

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

Heart is one of the vital organs of human body. A minor dysfunction of heart even for a short time interval can be fatal, therefore, efficient monitoring of its physiological state is essential for the patients with cardiovascular diseases.…

Image and Video Processing · Electrical Eng. & Systems 2019-11-22 Shakeel Muhammad Ibrahim , Muhammad Sohail Ibrahim , Muhammad Usman , Imran Naseem , Muhammad Moinuddin