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Cardiac resynchronization therapy (CRT) is a common intervention for patients with dyssynchronous heart failure, yet approximately one-third of recipients fail to respond, partly due to suboptimal lead placement. Identifying optimal pacing…

Computational Engineering, Finance, and Science · Computer Science 2026-02-13 Ehsan Naghavi , Haifeng Wang , Vahid Ziaei Rad , Julius Guccione , Ghassan Kassab , Vishnu Boddeti , Seungik Baek , Lik-Chuan Lee

Myocardial Velocity Mapping Cardiac MR (MVM-CMR) can be used to measure global and regional myocardial velocities with proved reproducibility. Accurate left ventricle delineation is a prerequisite for robust and reproducible myocardial…

Image and Video Processing · Electrical Eng. & Systems 2021-04-28 Mengmeng Kuang , Yinzhe Wu , Diego Alonso-Álvarez , David Firmin , Jennifer Keegan , Peter Gatehouse , Guang Yang

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…

Image and Video Processing · Electrical Eng. & Systems 2019-09-19 Bosung Seo , Daniel Mariano , John Beckfield , Vinay Madenur , Yuming Hu , Tony Reina , Marcus Bobar , Mai H. Nguyen , Ilkay Altintas

Automatic segmentation of left ventricle (LV) myocardium in cardiac short-axis cine MR images acquired on subjects with myocardial infarction is a challenging task, mainly because of the various types of image inhomogeneity caused by the…

Computer Vision and Pattern Recognition · Computer Science 2018-11-16 Dongqing Zhang , Ilknur Icke , Belma Dogdas , Sarayu Parimal , Smita Sampath , Joseph Forbes , Ansuman Bagchi , Chih-Liang Chin , Antong Chen

Automated segmentation of left ventricular cavity (LVC) in temporal cardiac image sequences (multiple time points) is a fundamental requirement for quantitative analysis of its structural and functional changes. Deep learning based methods…

Image and Video Processing · Electrical Eng. & Systems 2024-12-18 Yuyu Guo , Lei Bi , Zhengbin Zhu , David Dagan Feng , Ruiyan Zhang , Qian Wang , Jinman Kim

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

Accurate and efficient quantification of cardiac function is essential for the estimation of prognosis of cardiovascular diseases (CVDs). One of the most commonly used metrics for evaluating cardiac pumping performance is left ventricular…

Left ventricular (LV) volumes estimation is a critical procedure for cardiac disease diagnosis. The objective of this paper is to address direct LV volumes prediction task. Methods: In this paper, we propose a direct volumes prediction…

Computer Vision and Pattern Recognition · Computer Science 2018-04-10 Gongning Luo , Suyu Dong , Kuanquan Wang , Wangmeng Zuo , Shaodong Cao , Henggui Zhang

Cardiac indices estimation is of great importance during identification and diagnosis of cardiac disease in clinical routine. However, estimation of multitype cardiac indices with consistently reliable and high accuracy is still a great…

Computer Vision and Pattern Recognition · Computer Science 2017-05-29 Wufeng Xue , Ali Islam , Mousumi Bhaduri , Shuo Li

Echocardiography has become an indispensable clinical imaging modality for general heart health assessment. From calculating biomarkers such as ejection fraction to the probability of a patient's heart failure, accurate segmentation of the…

Computer Vision and Pattern Recognition · Computer Science 2024-03-27 Fadillah Maani , Asim Ukaye , Nada Saadi , Numan Saeed , Mohammad Yaqub

Segmenting human left ventricle (LV) in magnetic resonance imaging (MRI) images and calculating its volume are important for diagnosing cardiac diseases. In 2016, Kaggle organized a competition to estimate the volume of LV from MRI images.…

Computer Vision and Pattern Recognition · Computer Science 2018-01-23 Fangzhou Liao , Xi Chen , Xiaolin Hu , Sen Song

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

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…

Computer Vision and Pattern Recognition · Computer Science 2018-02-23 Mina Nasr-Esfahani , Majid Mohrekesh , Mojtaba Akbari , S. M. Reza Soroushmehr , Ebrahim Nasr-Esfahani , Nader Karimi , Shadrokh Samavi , Kayvan Najarian

How well the heart is functioning can be quantified through measurements of myocardial deformation via echocardiography. Clinical assessment of cardiac function is generally focused on global indices of relative shortening, however,…

Accurate estimation of regional wall thicknesses (RWT) of left ventricular (LV) myocardium from cardiac MR sequences is of significant importance for identification and diagnosis of cardiac disease. Existing RWT estimation still relies on…

Computer Vision and Pattern Recognition · Computer Science 2017-05-30 Wufeng Xue , Ilanit Ben Nachum , Sachin Pandey , James Warrington , Stephanie Leung , Shuo Li

Manual segmentation of the Left Ventricle (LV) is a tedious and meticulous task that can vary depending on the patient, the Magnetic Resonance Images (MRI) cuts and the experts. Still today, we consider manual delineation done by experts as…

Computer Vision and Pattern Recognition · Computer Science 2018-01-09 Alexandre Attia , Sharone Dayan

With superiorities on low cost, portability, and free of radiation, echocardiogram is a widely used imaging modality for left ventricle (LV) function quantification. However, automatic LV segmentation and motion tracking is still a…

Computer Vision and Pattern Recognition · Computer Science 2019-04-02 Sihong Chen , Kai Ma , Yefeng Zheng

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…

Image and Video Processing · Electrical Eng. & Systems 2023-10-17 Yangfan Ni , Duo Zhang , Gege Ma , Lijun Lu , Zhongke Huang , Wentao Zhu

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…

Computer Vision and Pattern Recognition · Computer Science 2017-10-11 Christian F. Baumgartner , Lisa M. Koch , Marc Pollefeys , Ender Konukoglu

Background. Functional assessment of right ventricle (RV) using gated myocardial perfusion single-photon emission computed tomography (MPS) heavily relies on the precise extraction of right ventricular contours. In this paper, we present a…

Image and Video Processing · Electrical Eng. & Systems 2023-12-22 Chen Zhao , Shi Shi , Zhuo He , Cheng Wang , Zhongqiang Zhao , Xinli Li , Yanli Zhou , Weihua Zhou