Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Ultrasonography01:17

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...

You might also read

Related Articles

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

Sort by
Same author

Quantifying Cardiovascular Wellbeing Through ECG Age: Acquisition Constraints and the Case for Handcrafted Features.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Vascular hydraulic conductivity imaging in cancers in vivo based on spatiotemporal ultrasound elastography.

PNAS nexus·2025
Same author

Non-Invasive Assessment of Structural and Mechanical Micro-Environmental Changes During Long Bone Regeneration Using a Multi-Modal and Multi-Parametric Ultrasound Imaging Technique in a Segmental Tibial Defect Sheep Model In Vivo.

IEEE transactions on bio-medical engineering·2025
Same author

RAFT-USENet: A Unified Network for Accurate Axial and Lateral Motion Estimation in Ultrasound Elastography Imaging.

IEEE journal of biomedical and health informatics·2025
Same author

A Novel Poroelastography Method for High-Quality Estimation of Lateral Strain, Solid Stress, and Fluid Pressure In Vivo.

IEEE transactions on medical imaging·2024
Same author

Enhancing ECG-based heart age: impact of acquisition parameters and generalization strategies for varying signal morphologies and corruptions.

Frontiers in cardiovascular medicine·2024

Related Experiment Video

Updated: May 13, 2026

A Coregistered Ultrasound and Photoacoustic Imaging Protocol for the Transvaginal Imaging of Ovarian Lesions
10:21

A Coregistered Ultrasound and Photoacoustic Imaging Protocol for the Transvaginal Imaging of Ovarian Lesions

Published on: March 3, 2023

A hybrid CPU-GPGPU approach for real-time elastography.

Xu Yang1, Sthiti Deka, Raffaella Righetti

  • 1Texas A&M University, Dwight Look College of Engineering, Department of Electrical and Computer Engineering, College Station, TX, USA. righetti@ece.tamu.edu

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|February 28, 2013
PubMed
Summary

This study accelerates ultrasound elastography using graphics processing units (GPUs) to achieve real-time imaging without sacrificing image quality. The hybrid approach balances speed and quality for clinical applications.

More Related Videos

Real-time Monitoring of High Intensity Focused Ultrasound (HIFU) Ablation of In Vitro Canine Livers Using Harmonic Motion Imaging for Focused Ultrasound (HMIFU)
07:38

Real-time Monitoring of High Intensity Focused Ultrasound (HIFU) Ablation of In Vitro Canine Livers Using Harmonic Motion Imaging for Focused Ultrasound (HMIFU)

Published on: November 3, 2015

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

Related Experiment Videos

Last Updated: May 13, 2026

A Coregistered Ultrasound and Photoacoustic Imaging Protocol for the Transvaginal Imaging of Ovarian Lesions
10:21

A Coregistered Ultrasound and Photoacoustic Imaging Protocol for the Transvaginal Imaging of Ovarian Lesions

Published on: March 3, 2023

Real-time Monitoring of High Intensity Focused Ultrasound (HIFU) Ablation of In Vitro Canine Livers Using Harmonic Motion Imaging for Focused Ultrasound (HMIFU)
07:38

Real-time Monitoring of High Intensity Focused Ultrasound (HIFU) Ablation of In Vitro Canine Livers Using Harmonic Motion Imaging for Focused Ultrasound (HMIFU)

Published on: November 3, 2015

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Computational Science

Background:

  • Ultrasound elastography is a growing clinical tool.
  • Current real-time elastography methods often compromise image quality.
  • Cross-correlation methods offer high-quality estimates but are computationally intensive.

Purpose of the Study:

  • To investigate the use of general-purpose graphics processing units (GPGPUs) for accelerating cross-correlation-based elastography.
  • To achieve real-time frame rates while maintaining elastographic image quality.
  • To develop and analyze a hybrid computational model for elastography.

Main Methods:

  • Implementation of a hybrid computational model utilizing both CPU and GPGPU.
  • Parallel processing of elastography algorithms on GPGPUs.
  • Statistical analysis of the hybrid model's performance.

Main Results:

  • The proposed hybrid approach significantly speeds up the generation of cross-correlation-based elastograms.
  • Real-time frame rates were achieved.
  • Elastographic image quality was preserved.

Conclusions:

  • The hybrid CPU-GPGPU model effectively addresses the speed-quality trade-off in elastography.
  • This approach enables high-quality, real-time ultrasound elastography for clinical use.
  • GPGPU acceleration is a viable solution for computationally demanding imaging techniques.