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Related Concept Videos

Ultrasonography01:17

Ultrasonography

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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...
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Updated: May 10, 2025

Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver
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Elevational Synthetic Aperture Focusing for Rotated Array-Based Three-Dimensional Ultrasound Imaging.

Ryo Murakami1, Yang Wang1, Yichuan Tang1

  • 1Department of Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA.

IEEE Access : Practical Innovations, Open Solutions
|April 22, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an elevational Synthetic Aperture Focusing (SAF) algorithm for 3D ultrasound imaging. The new method significantly improves image resolution and contrast, enhancing diagnostic capabilities in medical applications.

Keywords:
Biomedical imagingfocusingimage processingmedical diagnostic imagingultrasonics imaging

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Area of Science:

  • Medical Imaging
  • Ultrasound Technology
  • Signal Processing

Background:

  • Three-dimensional (3D) ultrasound (US) is a valuable diagnostic tool due to its real-time, non-ionizing, and cost-effective nature.
  • Limited elevational resolution in conventional 1D transducer-based 3D US hinders diagnostic accuracy.
  • Existing methods often require complex channel data, limiting their widespread adoption.

Purpose of the Study:

  • To develop and validate an elevational Synthetic Aperture Focusing (SAF) algorithm for rotational 3D US imaging.
  • To improve the elevational resolution and contrast of 3D US images.
  • To create an algorithm accessible on commercial scanners using readily available data.

Main Methods:

  • Developed an elevational SAF algorithm tailored for rotational 3D US.
  • The algorithm processes in-plane beamformed radio-frequency (RF) data, avoiding the need for raw channel data.
  • Validated the algorithm through both numerical simulations and experimental phantom studies.

Main Results:

  • Achieved significant improvements in elevational resolution, with up to a 96.4% increase observed.
  • Demonstrated substantial enhancements in image contrast, reaching up to 274.7%.
  • The method proved effective in improving image quality using accessible RF data.

Conclusions:

  • The proposed elevational SAF algorithm offers a practical solution for enhancing 3D US image quality.
  • This advancement holds significant potential for improving both research and clinical applications of rotational 3D US.
  • The algorithm's accessibility on commercial scanners broadens its applicability in medical diagnostics.