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

Gestalt Principles of Perception

Gestalt Principles of Perception

Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...

You might also read

Related Articles

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

Sort by

Same author

Training a Two-Layer ReLU Network Analytically.

Sensors (Basel, Switzerland)·2023

Same author

The Compact Support Neural Network.

Sensors (Basel, Switzerland)·2021

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 1, 2026

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

MSLNet and Perceptual Grouping for Guidewire Segmentation and Localization.

¹Statistics Department, Florida State University, Tallahassee, FL 32306, USA.

Sensors (Basel, Switzerland)

|October 29, 2025

Summary

This summary is machine-generated.

This study introduces a novel method for guidewire localization in noisy fluoroscopy images, crucial for minimally invasive coronary angioplasty. The approach improves accuracy and speed compared to existing segmentation techniques.

Keywords:

fluoroscopy guidewire localization guidewire segmentation

More Related Videos

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Related Experiment Videos

Last Updated: May 1, 2026

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Area of Science:

Medical Imaging
Computer Vision
Interventional Cardiology

Background:

Fluoroscopy (real-time X-ray) is vital for guiding minimally invasive coronary angioplasty.
Identifying the guidewire in noisy fluoroscopy images is challenging due to its thinness and low visibility.
Accurate guidewire localization is essential for precise stent and balloon placement during vessel repair.

Purpose of the Study:

To develop an effective method for guidewire localization in fluoroscopy images.
To improve the accuracy and efficiency of guidewire segmentation and localization.
To provide a robust solution for a critical step in minimally invasive cardiac procedures.

Main Methods:

A novel guidewire segmentation method using a residual network (ResNet) for feature extraction.
Prediction of coarse segmentation refined in promising areas for fine segmentation.
A perceptual grouping method to merge initial pixel chain curves into a few representative curves.

Main Results:

The proposed method achieves competitive results against established segmentation techniques like Res-UNet and nnU-Net.
Demonstrated effectiveness on datasets with 871 and 23,449 frames.
Achieved faster inference times without utilizing skip connections.

Conclusions:

The developed method offers a promising approach for accurate and efficient guidewire localization.
This technique can enhance the safety and efficacy of minimally invasive coronary angioplasty.
The novel segmentation and perceptual grouping strategies contribute to advancing medical image analysis.