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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

Echocardiography is crucial for cardiovascular disease detection but relies heavily on experienced sonographers. Echocardiography probe guidance systems, which provide real-time movement instructions for acquiring standard plane images,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-18 Yang Yue , Yulin Wang , Haojun Jiang , Pan Liu , Shiji Song , Gao Huang

Myocardial infarction (MI) is one of the most prevalent cardiovascular diseases with associated clinical decision-making typically based on single-valued imaging biomarkers. However, such metrics only approximate the complex 3D structure…

Computer Vision and Pattern Recognition · Computer Science 2023-07-17 Marcel Beetz , Yilong Yang , Abhirup Banerjee , Lei Li , Vicente Grau

We introduce ITTO, a challenging new benchmark suite for evaluating and diagnosing the capabilities and limitations of point tracking methods. Our videos are sourced from existing datasets and egocentric real-world recordings, with…

Computer Vision and Pattern Recognition · Computer Science 2025-10-23 Ilona Demler , Saumya Chauhan , Georgia Gkioxari

Dense point tracking is a challenging task requiring the continuous tracking of every point in the initial frame throughout a substantial portion of a video, even in the presence of occlusions. Traditional methods use optical flow models to…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 Qiaole Dong , Yanwei Fu

Tracking has traditionally been the art of following interest points through space and time. This changed with the rise of powerful deep networks. Nowadays, tracking is dominated by pipelines that perform object detection followed by…

Computer Vision and Pattern Recognition · Computer Science 2020-08-24 Xingyi Zhou , Vladlen Koltun , Philipp Krähenbühl

Objective- Heart rate monitoring using wrist type Photoplethysmographic (PPG) signals is getting popularity because of construction simplicity and low cost of wearable devices. The task becomes very difficult due to the presence of various…

Multi-pedestrian tracking in aerial imagery has several applications such as large-scale event monitoring, disaster management, search-and-rescue missions, and as input into predictive crowd dynamic models. Due to the challenges such as the…

Computer Vision and Pattern Recognition · Computer Science 2020-06-30 Maximilian Kraus , Seyed Majid Azimi , Emec Ercelik , Reza Bahmanyar , Peter Reinartz , Alois Knoll

Purpose: To develop and evaluate a cardiovascular magnetic resonance sequence (MyoFold) for rapid myocardial tissue and movement characterization. Method: MyoFold sequentially performs joint T1/T2 mapping and cine for one left-ventricle…

Myocardial infarction (MI) is one of the most common causes of death in the world. Image-based biomarkers commonly used in the clinic, such as ejection fraction, fail to capture more complex patterns in the heart's 3D anatomy and thus limit…

Computer Vision and Pattern Recognition · Computer Science 2023-07-21 Marcel Beetz , Abhirup Banerjee , Vicente Grau

Speckle tracking echocardiography (STE) is the clinical standard for myocardial strain estimation. Despite good performance on global strain (GLS), its accuracy for regional strain remains limited, even though this biomarker is highly…

In the realm of video analysis, the field of multiple object tracking (MOT) assumes paramount importance, with the motion state of objects-whether static or dynamic relative to the ground-holding practical significance across diverse…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Yang Feng , Liao Pan , Wu Di , Liu Bo , Zhang Xingle

Echocardiography is the only technique capable of real-time imaging of the heart and is vital for diagnosing the majority of cardiac diseases. However, there is a severe shortage of experienced cardiac sonographers, due to the heart's…

Image and Video Processing · Electrical Eng. & Systems 2024-10-22 Haojun Jiang , Zhenguo Sun , Ning Jia , Meng Li , Yu Sun , Shaqi Luo , Shiji Song , Gao Huang

Video-based ambient monitoring of gait for older adults with dementia has the potential to detect negative changes in health and allow clinicians and caregivers to intervene early to prevent falls or hospitalizations. Computer vision-based…

Computer Vision and Pattern Recognition · Computer Science 2023-08-23 Caroline Malin-Mayor , Vida Adeli , Andrea Sabo , Sergey Noritsyn , Carolina Gorodetsky , Alfonso Fasano , Andrea Iaboni , Babak Taati

The accurate quantification of left ventricular (LV) deformation/strain shows significant promise for quantitatively assessing cardiac function for use in diagnosis and therapy planning (Jasaityte et al., 2013). However, accurate estimation…

In this paper, we propose a method for tracking structures (e.g., ventricles and myocardium) in cardiac images (e.g., magnetic resonance) by propagating forward in time a previous estimate of the structures via a new deformation estimation…

Computer Vision and Pattern Recognition · Computer Science 2014-02-10 Omar Arif , Ganesh Sundaramoorthi , Byung-Woo Hong , Anthony Yezzi

Multi-object tracking (MOT) has been dominated by the use of track by detection approaches due to the success of convolutional neural networks (CNNs) on detection in the last decade. As the datasets and bench-marking sites are published,…

Computer Vision and Pattern Recognition · Computer Science 2022-08-05 Fatih Emre Simsek , Cevahir Cigla , Koray Kayabol

Positron Emission Tomography (PET) enables functional imaging of deep brain structures, but the bulk and weight of current systems preclude their use during many natural human activities, such as locomotion. The proposed long-term solution…

Robotics · Computer Science 2023-12-07 Junxiang Wang , Ti Wu , Iulian I. Iordachita , Peter Kazanzides

Patient motion is well-known for degrading image quality during medical imaging. Especially positron emission tomography (PET) is susceptible to motion due to its usually long scan times. In hybrid PET/MRI (magnetic resonance imaging),…

Medical Physics · Physics 2019-05-21 Lynn Johann Frohwein , Florian Büther , Klaus Peter Schäfers

Conventional cell tracking methods detect multiple cells in each frame (detection) and then associate the detection results in successive time-frames (association). Most cell tracking methods perform the association task independently from…

Computer Vision and Pattern Recognition · Computer Science 2020-02-27 Junya Hayashida , Kazuya Nishimura , Ryoma Bise