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Related papers: Continuous 3D Myocardial Motion Tracking via Echoc…

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The ability to map left ventricle (LV) myocardial motion using computed tomography angiography (CTA) is essential to diagnosing cardiovascular conditions and guiding interventional procedures. Due to their inherent locality, conventional…

Image and Video Processing · Electrical Eng. & Systems 2024-11-08 Shahar Zuler , Shai Tejman-Yarden , Dan Raviv

Recovering the 3D motion of the heart from cine cardiac magnetic resonance (CMR) imaging enables the assessment of regional myocardial function and is important for understanding and analyzing cardiovascular disease. However, 3D cardiac…

Image and Video Processing · Electrical Eng. & Systems 2022-08-02 Qingjie Meng , Chen Qin , Wenjia Bai , Tianrui Liu , Antonio de Marvao , Declan P O'Regan , Daniel Rueckert

Large prospective epidemiological studies acquire cardiovascular magnetic resonance (CMR) images for pre-symptomatic populations and follow these over time. To support this approach, fully automatic large-scale 3D analysis is essential. In…

Image and Video Processing · Electrical Eng. & Systems 2019-07-04 Rahman Attar , Marco Pereanez , Christopher Bowles , Stefan K. Piechnik , Stefan Neubauer , Steffen E. Petersen , Alejandro F. Frangi

Myocardial motion tracking is important for assessing cardiac function and diagnosing cardiovascular diseases, for which cine cardiac magnetic resonance (CMR) has been established as the gold standard imaging modality. Many existing methods…

Image and Video Processing · Electrical Eng. & Systems 2025-07-24 Jiahui Yin , Xinxing Cheng , Jinming Duan , Yan Pang , Declan O'Regan , Hadrien Reynaud , Qingjie Meng

3D motion estimation from cine cardiac magnetic resonance (CMR) images is important for the assessment of cardiac function and diagnosis of cardiovascular diseases. Most of the previous methods focus on estimating pixel-/voxel-wise motion…

Image and Video Processing · Electrical Eng. & Systems 2022-09-07 Qingjie Meng , Wenjia Bai , Tianrui Liu , Declan P O'Regan , Daniel Rueckert

Cardiovascular magnetic resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber volume, ejection…

Time-resolved three-dimensional flow MRI (4D flow MRI) provides a unique non-invasive solution to visualize and quantify hemodynamics in blood vessels such as the aortic arch. However, most current analysis methods for arterial 4D flow MRI…

Computer Vision and Pattern Recognition · Computer Science 2024-07-31 Simone Garzia , Patryk Rygiel , Sven Dummer , Filippo Cademartiri , Simona Celi , Jelmer M. Wolterink

Cardiac motion tracking from echocardiography can be used to estimate and quantify myocardial motion within a cardiac cycle. It is a cost-efficient and effective approach for assessing myocardial function. However, ultrasound imaging has…

Computer Vision and Pattern Recognition · Computer Science 2024-07-08 Long Teng , Wei Feng , Menglong Zhu , Xinchao Li

Myocardial motion and deformation are rich descriptors that characterize cardiac function. Image registration, as the most commonly used technique for myocardial motion tracking, is an ill-posed inverse problem which often requires prior…

Image and Video Processing · Electrical Eng. & Systems 2022-06-09 Chen Qin , Shuo Wang , Chen Chen , Wenjia Bai , Daniel Rueckert

3D motion estimation from cine cardiac magnetic resonance (CMR) images is important for the assessment of cardiac function and the diagnosis of cardiovascular diseases. Current state-of-the art methods focus on estimating dense…

Image and Video Processing · Electrical Eng. & Systems 2023-09-26 Qingjie Meng , Wenjia Bai , Declan P O'Regan , and Daniel Rueckert

Estimating the shape and motion state of the myocardium is essential in diagnosing cardiovascular diseases.However, cine magnetic resonance (CMR) imaging is dominated by 2D slices, whose large slice spacing challenges inter-slice shape…

Computer Vision and Pattern Recognition · Computer Science 2023-08-29 Xiaohan Yuan , Cong Liu , Yangang Wang

Accurate cardiac motion estimation from cine cardiac magnetic resonance (CMR) images is vital for assessing cardiac function and detecting its abnormalities. Existing methods often struggle to capture heart motion accurately because they…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Reza Akbari Movahed , Abuzar Rezaee , Arezoo Zakeri , Colin Berry , Edmond S. L. Ho , Ali Gooya

Cardiac imaging known as echocardiography is a non-invasive tool utilized to produce data including images and videos, which cardiologists use to diagnose cardiac abnormalities in general and myocardial infarction (MI) in particular.…

Image and Video Processing · Electrical Eng. & Systems 2022-08-05 Oumaima Hamila , Sheela Ramanna , Christopher J. Henry , Serkan Kiranyaz , Ridha Hamila , Rashid Mazhar , Tahir Hamid

Accurate analysis of cardiac motion is crucial for evaluating cardiac function. While dynamic cardiac magnetic resonance imaging (CMR) can capture detailed tissue motion throughout the cardiac cycle, the fine-grained 4D cardiac motion…

Computer Vision and Pattern Recognition · Computer Science 2025-07-23 Xueming Fu , Pei Wu , Yingtai Li , Xin Luo , Zihang Jiang , Junhao Mei , Jian Lu , Gao-Jun Teng , S. Kevin Zhou

Coronary artery disease (CAD) is the most common cause of death globally, and its diagnosis is usually based on manual myocardial segmentation of Magnetic Resonance Imaging (MRI) sequences. As the manual segmentation is tedious,…

Image and Video Processing · Electrical Eng. & Systems 2023-02-27 Yutian Chen , Xiaowei Xu , Dewen Zeng , Yiyu Shi , Haiyun Yuan , Jian Zhuang , Yuhao Dong , Qianjun Jia , Meiping Huang

Cardiac diseases are among the leading causes of morbidity and mortality worldwide, which requires accurate and timely diagnostic strategies. In this study, we introduce an innovative approach that combines deep learning image registration…

Machine Learning · Computer Science 2025-07-09 Comte Valentin , Gemma Piella , Mario Ceresa , Miguel A. Gonzalez Ballester

In this paper, we propose an enhanced 3D myocardial strain estimation procedure, which combines complementary displacement information from multiple orientations of a single imaging modality (untagged CMR SSFP images). To estimate…

Image and Video Processing · Electrical Eng. & Systems 2020-12-01 Mohamed Abdelkhalek , Heba Aguib , Mohamed Moustafa , Khalil Elkhodary

Cardiac motion estimation is critical to the assessment of cardiac function. Myocardium feature tracking (FT) can directly estimate cardiac motion from cine MRI, which requires no special scanning procedure. However, current deep…

Image and Video Processing · Electrical Eng. & Systems 2020-08-19 Pingjun Chen , Xiao Chen , Eric Z. Chen , Hanchao Yu , Terrence Chen , Shanhui Sun

Feature tracking Cardiac Magnetic Resonance (CMR) has recently emerged as an area of interest for quantification of regional cardiac function from balanced, steady state free precession (SSFP) cine sequences. However, currently available…

Computer Vision and Pattern Recognition · Computer Science 2017-04-13 Davis M. Vigneault , Weidi Xie , David A. Bluemke , J. Alison Noble
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