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

Ultrasound II: Endoscopic Ultrasound and FibroScan01:25

Ultrasound II: Endoscopic Ultrasound and FibroScan

181
Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
Endoscopic Ultrasound (EUS):
181
Ultrasonography01:17

Ultrasonography

4.8K
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...
4.8K

You might also read

Related Articles

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

Sort by
Same author

Investigating the structural responses of medial collagen and elastin to traction to elucidate mechanical property differences in porcine aorta and pulmonary artery.

Acta biomaterialia·2026
Same author

Computed tomography-based prediction of commissural positions facilitates valve-sparing aortic root replacement.

JTCVS techniques·2026
Same author

First Multi-Facility Antimicrobial Surveillance in Japanese Hospital Wastewater Reveals Spatiotemporal Trends and Source-Specific Environmental Loads.

Antibiotics (Basel, Switzerland)·2026
Same author

Environmental Dissemination of Antimicrobial Resistance: A Resistome-Based Comparison of Hospital and Community Wastewater Sources.

Antibiotics (Basel, Switzerland)·2026
Same author

Pre-curved Fenestrated Endovascular Repair Versus Total Arch Replacement for Aortic Arch Aneurysm Repair.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists·2025
Same author

Phase Variance Analysis for Identifying Heterogeneous Conduction Regions in Persistent Atrial Fibrillation: Impact of Recording Duration.

Journal of arrhythmia·2025

Related Experiment Video

Updated: Aug 27, 2025

Universal Hand-held Three-dimensional Optoacoustic Imaging Probe for Deep Tissue Human Angiography and Functional Preclinical Studies in Real Time
09:56

Universal Hand-held Three-dimensional Optoacoustic Imaging Probe for Deep Tissue Human Angiography and Functional Preclinical Studies in Real Time

Published on: November 4, 2014

10.9K

Ultrasound Imaging With a Flexible Probe Based on Element Array Geometry Estimation Using Deep Neural Network.

Takumi Noda, Takashi Azuma, Yutaka Ohtake

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |September 28, 2022
    PubMed
    Summary
    This summary is machine-generated.

    Flexible ultrasound probes offer advantages for long-term monitoring. This study introduces a deep neural network (DNN) method to accurately estimate probe geometry from radio frequency (RF) data, improving image quality for real-time applications.

    More Related Videos

    An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging
    16:01

    An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging

    Published on: September 24, 2017

    10.5K
    Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver
    04:33

    Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver

    Published on: August 21, 2018

    10.5K

    Related Experiment Videos

    Last Updated: Aug 27, 2025

    Universal Hand-held Three-dimensional Optoacoustic Imaging Probe for Deep Tissue Human Angiography and Functional Preclinical Studies in Real Time
    09:56

    Universal Hand-held Three-dimensional Optoacoustic Imaging Probe for Deep Tissue Human Angiography and Functional Preclinical Studies in Real Time

    Published on: November 4, 2014

    10.9K
    An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging
    16:01

    An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging

    Published on: September 24, 2017

    10.5K
    Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver
    04:33

    Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver

    Published on: August 21, 2018

    10.5K

    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Artificial Intelligence in Healthcare

    Background:

    • Conventional ultrasound (US) diagnosis relies on rigid probes, limiting long-term monitoring due to the need for continuous pressure and air removal.
    • Flexible probes offer superior body adherence for extended monitoring but suffer from image blurring and distortion caused by their geometry.
    • Accurate element array geometry is crucial for high-fidelity ultrasound image reconstruction.

    Purpose of the Study:

    • To develop and validate a novel ultrasound imaging method for flexible probes.
    • To utilize a deep neural network (DNN) for estimating element array geometry from radio frequency (RF) data.
    • To enable real-time, high-quality ultrasound imaging with flexible probes for long-term monitoring.

    Main Methods:

    • A deep neural network (DNN) was designed to predict element array geometry parameters directly from ultrasound RF data.
    • The DNN was initially trained using simulated data and subsequently fine-tuned with in vivo ultrasound data.
    • Performance was assessed by measuring element position mean absolute error (MAE) and evaluating reconstructed image quality using peak-signal-to-noise ratio (PSNR) and mean structural similarity (MSSIM).

    Main Results:

    • The DNN achieved an average element position MAE of 0.86 mm on simulation data and 1.11 mm on in vivo data.
    • Reconstructed images showed an average PSNR of 20.6 and MSSIM of 0.791 for simulation data, and 19.4 and 0.798 for in vivo data.
    • The average estimation time for the DNN was remarkably fast at 0.045 seconds, indicating real-time feasibility.

    Conclusions:

    • The proposed DNN-based method effectively estimates flexible ultrasound probe geometry from RF data.
    • This approach significantly improves the quality of reconstructed ultrasound images, overcoming limitations of flexible probe geometry.
    • The method demonstrates strong potential for enabling real-time, long-term ultrasound monitoring applications using flexible probes.