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

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...

You might also read

Related Articles

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

Sort by

Same author

<sup>18</sup>F-Fluciclovine or <sup>68</sup>Ga-PSMA-11 PET/CT-guided Salvage Radiotherapy Changes in Postprostatectomy Biochemical Recurrence: Secondary Analysis of the EMPIRE-2 Trial.

Radiology·2026

Same author

A digital twin framework for adaptive treatment planning in radiotherapy.

Physics in medicine and biology·2026

Same author

Efficient vision mamba for MRI super-resolution via hybrid selective scanning.

Medical physics·2026

Same author

Bladder activity of different PSMA PET radioligands and impact of furosemide.

American journal of nuclear medicine and molecular imaging·2026

Same author

Utilization, Cost, and Subsequent Salvage Treatment of Ablative Therapies for Localized Prostate Cancer in the United States.

Clinical genitourinary cancer·2026

Same author

Coronary Plaque Progression After Androgen Deprivation Therapy in Men With Prostate Cancer: A Randomized Clinical Trial.

JAMA cardiology·2026

Search research articles

Related Experiment Video

Updated: Nov 5, 2025

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

Self-supervised learning for accelerated 3D high-resolution ultrasound imaging.

Xianjin Dai¹, Yang Lei¹, Tonghe Wang¹

¹Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA.

Medical Physics

|May 16, 2021

Summary

This study introduces a deep learning algorithm to create high-resolution 3D ultrasound images from sparse 2D data. The method significantly enhances through-plane resolution, improving diagnostic imaging quality.

Keywords:

cycle-consistent generative adversarial network deep learning image-guided therapy self-supervised learning ultrasound imaging

More Related Videos

Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

Published on: November 21, 2016

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

Published on: April 28, 2022

Related Experiment Videos

Last Updated: Nov 5, 2025

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

Published on: November 21, 2016

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

Published on: April 28, 2022

Area of Science:

Medical Imaging
Artificial Intelligence
Ultrasound Technology

Background:

High-quality 3D ultrasound (US) images are crucial for diagnosis and interventions.
Current methods often require dense data acquisition, limiting efficiency.
Reconstructing 3D US from sparse 2D images presents a significant challenge.

Purpose of the Study:

To develop a deep learning algorithm for reconstructing high-resolution (HR) 3D US images.
To achieve this reconstruction solely from sparsely acquired 2D US images.
To enhance the through-plane resolution of 3D US images.

Main Methods:

A self-supervised learning framework utilizing cycle-consistent generative adversarial networks (cycleGAN).
Training two independent cycleGAN models to learn mappings between low-resolution (LR) and high-resolution (HR) US images.
Reconstructing HR 3D US images by combining generated 2D images from the trained models.

Main Results:

The algorithm was validated on automatic breast ultrasound (ABUS) and prostate cancer patient datasets.
Achieved significant improvements over bicubic interpolation, with MAE of 0.90 ± 0.15, PSNR of 37.88 ± 0.88 dB, and VIF of 0.69 ± 0.01 for breast cases (enhancement factor of 3).
Similar superior performance was observed with higher enhancement factors and in prostate cancer imaging.

Conclusions:

A novel deep learning algorithm for HR 3D US image reconstruction from sparse 2D data has been developed.
The method effectively improves through-plane resolution without external atlases.
The self-supervision capability holds potential for accelerating HR US imaging.