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Ultrasonography

Ultrasonography

Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called a...

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Related Experiment Video

Updated: May 10, 2026

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

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Localizing target structures in ultrasound video - a phantom study.

R Kwitt¹, N Vasconcelos, S Razzaque

¹Kitware Inc., Chapel Hill, NC, USA. roland.kwitt@kitware.com

Medical Image Analysis

|June 11, 2013

Summary

This study introduces a new method for automatically identifying specific anatomical structures in ultrasound (US) videos. This advance enables easier US data acquisition by non-experts, improving remote diagnostics and accessibility.

Keywords:

Dynamic textures Ultrasound imaging Video analysis

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Last Updated: May 10, 2026

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

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Area of Science:

Medical Imaging
Computer Vision
Biomedical Engineering

Background:

Ultrasound (US) video analysis is crucial for identifying anatomical structures.
Portable, low-cost US probes enable broader applications, including remote assessment by experts.
Challenges exist in applying standard video analysis to US images due to unique characteristics.

Purpose of the Study:

To develop an automated approach for localizing specific anatomical structures within ultrasound video.
To enable inexperienced users to acquire diagnostic ultrasound data for expert review.
To facilitate applications in underserved areas and emergency triage.

Main Methods:

Leveraged dynamic texture analysis and recent advances in activity recognition.
Developed a novel localization approach tailored for ultrasound video.
Created and utilized an annotated, publicly available database of US video from phantoms for evaluation.

Main Results:

Demonstrated the feasibility of accurate localization of anatomical structures in US video.
Highlighted the specific challenges encountered when applying video analysis techniques to US imaging.
Achieved good localization performance with the proposed solution.

Conclusions:

The developed method shows promise for automated anatomical localization in ultrasound video.
This technology can empower non-specialists to collect valuable ultrasound data.
The findings contribute to advancing the use of ultrasound in remote and resource-limited settings.