Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Imaging Studies for Cardiovascular System V: CT

Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

The cutting-edge advancements in biomaterials under the guidance of intelligence and bionics.

Regenerative biomaterials·2026

Same author

Highly stretchable and conformal bioinspired kirigami structural epidermal electrodes for ECG recording during daily activities.

Microsystems & nanoengineering·2026

Same author

Hybrid calibration algorithm based on RKHS-PLSR for high-accuracy noninvasive optical monitoring of blood parameters.

Optics express·2026

Same author

High peak power sub-nanosecond 2.1 μm Raman generator.

Optics letters·2026

Same author

pH sensitivity regulation based on photoinduced electron transfer and steric hindrance effect.

Optics express·2026

Same author

Extended-depth-of-field imaging with an ultra-thin folded lens.

Journal of the Optical Society of America. A, Optics, image science, and vision·2024

Search research articles

Related Experiment Video

Updated: May 11, 2026

Automated Analysis of Dynamic Ca2+ Signals in Image Sequences

Automated Analysis of Dynamic Ca2+ Signals in Image Sequences

Published on: June 16, 2014

TSNet: Vessel segmentation with sequential frame temporal information in coronary angiography.

Hui Yu¹, Hui Gao¹, Guang Li²

¹Department of Biomedical Engineering, Tianjin University, China.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society

|April 5, 2025

Summary

This summary is machine-generated.

This study introduces a novel time series network (TSNet) for coronary angiography segmentation, improving accuracy by utilizing temporal information from image sequences. The method enhances vessel continuity and edge precision, aiding clinical diagnosis.

Keywords:

Coronary angiography vessel segmentation Edge enhancement Temporal information extraction Topological structure

More Related Videos

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Published on: December 6, 2024

Related Experiment Videos

Last Updated: May 11, 2026

Automated Analysis of Dynamic Ca2+ Signals in Image Sequences

Automated Analysis of Dynamic Ca2+ Signals in Image Sequences

Published on: June 16, 2014

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Published on: December 6, 2024

Area of Science:

Medical Imaging
Computer Vision
Cardiology

Background:

Single-frame coronary vessel segmentation suffers from over-segmentation and topological disruption due to vessel complexity and low image quality.
Limited information in single frames hinders accurate representation of vascular structures.

Purpose of the Study:

To leverage temporal information from coronary angiography sequences for improved vessel segmentation accuracy.
To address limitations of single-frame analysis in capturing complete and accurate coronary vascular topology.

Main Methods:

Developed a specialized dataset (SqCS) for coronary angiography sequence segmentation.
Proposed a time series-based U-shaped network (TSNet) with multiple encoders for spatial feature extraction.
Integrated an edge enhancement method and a Temporal and Spatial Attention Unit (TSAU) for multi-frame feature fusion.

Main Results:

TSNet achieved a Dice score of 0.8966 and an IoU of 0.8127 on the SqCS dataset.
The model demonstrated significant improvements in pixel-wise accuracy and edge accuracy.
Vascular topology was better preserved, particularly in low-contrast regions.

Conclusions:

The proposed TSNet effectively utilizes temporal data to overcome single-frame segmentation limitations in coronary angiography.
The SqCS dataset and TSNet model provide a valuable resource for advancing sequence-based vessel segmentation research.
This approach supports more accurate clinical diagnosis and treatment planning for coronary artery disease.