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

Plane Electromagnetic Waves I

Plane Electromagnetic Waves I

The existence of combined electric and magnetic fields that propagate through space as electromagnetic (EM) waves is the most significant prediction of Maxwell's equations. As Maxwell's equations hold in free space, the predicted electromagnetic waves do not require a medium for their propagation. An EM wave comprises an electric field, defined as the force per charge on a stationary charge, and a magnetic field, which is the force per charge on a moving charge.
The EM field is assumed...

You might also read

Related Articles

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

Sort by

Same author

CycleH-CUT: an unsupervised medical image translation method based on cycle consistency and hybrid contrastive learning.

Physics in medicine and biology·2025

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 15, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Fourier-based beamforming for 3D plane wave imaging and application in vector flow imaging using selective

Menghan Li¹, Siyi Liang², Minhua Lu¹

¹Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, People's Republic of China.

Physics in Medicine and Biology

|August 21, 2024

Summary

This study introduces a new Fourier domain beamformer for 3D ultrasound imaging, significantly speeding up computations. This method enhances image quality and vector flow imaging (VFI) for potential real-time applications.

Keywords:

3D imaging Fourier domain beamforming cross-beam Doppler selective compounding ultrafast imaging vector flow imaging

More Related Videos

Blood Flow Imaging with Ultrafast Doppler

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

Related Experiment Videos

Last Updated: Jun 15, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Blood Flow Imaging with Ultrafast Doppler

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

Area of Science:

Medical Imaging
Ultrasound Technology
Signal Processing

Background:

Ultrafast ultrasound imaging with plane or diverging waves enables efficient 3D imaging using matrix arrays.
Conventional time-domain delay-and-sum (DAS) beamformers face computational challenges in 3D imaging, limiting real-time applications.
High computational load in 3D vector flow imaging (VFI) stems from repeated beamforming across numerous transmit and receive angles.

Purpose of the Study:

To develop a novel Fourier domain beamformer for accelerated 3D plane wave imaging.
To introduce a selective compounding strategy for 3D VFI to reduce computational complexity.
To improve image resolution, contrast, and velocity estimation accuracy in 3D ultrasound.

Main Methods:

A Fourier domain beamformer is proposed, decomposing receive wavefronts into plane waves with varying slant angles.
A selective compounding strategy reduces VFI beamforming from m x n to m steps.
The method decomposes wavefronts for sub-volume generation, enabling coherent or selective compounding without perfect plane wave assumptions.

Main Results:

The proposed beamformer demonstrates improved resolution and contrast over DAS for B-mode imaging, with suppressed sidelobes.
VFI using the new method shows significantly lower mean bias (e.g., 2.3% vs. 9.8%) and standard deviation (e.g., 1.8% vs. 7.5%) compared to DAS.
Computational time is reduced by 40 times, facilitating real-time 3D VFI applications.

Conclusions:

A novel Fourier-based beamformer offers enhanced image quality and velocity estimation for 3D ultrasound.
The selective compounding strategy dramatically reduces computation time for 3D VFI.
This approach represents a significant advancement for real-time 3D VFI applications.