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

Atomic Force Microscopy

Atomic Force Microscopy

Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...

Ultrasound II: Endoscopic Ultrasound and FibroScan

Ultrasound II: Endoscopic Ultrasound and FibroScan

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

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 a...

Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

You might also read

Related Articles

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

Sort by

Same author

The role of group III/IV afferent feedback in the ventilatory, pressor and metabolic responses to exercise in normoxia and hypoxia.

The Journal of physiology·2026

Same author

Artificial intelligence in dermatology: Clinical promise and environmental impact.

The Journal of investigative dermatology·2026

Same author

Head-to-Head Comparative Evaluation of Four Commercially Available Artificial Intelligence Systems for Detecting Referable Diabetic Retinopathy in a Tanzanian Population.

Diabetes care·2026

Same author

Quality-of-Life and Utility Values Associated With Diabetic Retinopathy in Tanzania.

Value in health regional issues·2026

Same author

Migration and its impact on universal HIV testing and treatment in the HPTN 071 (PopART) study communities.

PLOS global public health·2026

Same author

Characterizing Dermoscopic Features of Longitudinal Melanonychia in Skin of Color.

JAMA dermatology·2026

Search research articles

Related Experiment Video

Updated: Jun 1, 2026

Hand-held Clinical Photoacoustic Imaging System for Real-time Non-invasive Small Animal Imaging

Hand-held Clinical Photoacoustic Imaging System for Real-time Non-invasive Small Animal Imaging

Published on: October 16, 2017

Acoustic Radiation Force Impulse (ARFI) imaging-based needle visualization.

Veronica Rotemberg¹, Mark Palmeri, Stephen Rosenzweig

¹Department of Biomedical Engineering, Duke University, Box 90281, 136 Hudson Hall Durham, NC 27708, USA. veronica.rotemberg@duke.edu

Ultrasonic Imaging

|May 26, 2011

Summary

Acoustic Radiation Force Impulse (ARFI) imaging improves needle visualization during ultrasound-guided procedures. A new algorithm enhances ARFI images, overlaying needle predictions onto B-mode scans for better accuracy in clinical settings.

More Related Videos

Dual Raster-Scanning Photoacoustic Small-Animal Imager for Vascular Visualization

Dual Raster-Scanning Photoacoustic Small-Animal Imager for Vascular Visualization

Published on: July 15, 2020

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

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

Published on: August 21, 2018

Related Experiment Videos

Last Updated: Jun 1, 2026

Hand-held Clinical Photoacoustic Imaging System for Real-time Non-invasive Small Animal Imaging

Hand-held Clinical Photoacoustic Imaging System for Real-time Non-invasive Small Animal Imaging

Published on: October 16, 2017

Dual Raster-Scanning Photoacoustic Small-Animal Imager for Vascular Visualization

Dual Raster-Scanning Photoacoustic Small-Animal Imager for Vascular Visualization

Published on: July 15, 2020

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

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

Published on: August 21, 2018

Area of Science:

Medical Imaging
Ultrasound Technology
Image Processing

Background:

Ultrasound-guided needle placement is crucial for procedures like central venous catheterization, biopsies, and regional anesthesia.
Steep needle angles and spatial offsets challenge conventional ultrasound guidance, impacting visualization.
Acoustic Radiation Force Impulse (ARFI) imaging offers improved needle visibility, independent of insertion angle and extending out-of-plane.

Purpose of the Study:

To develop and evaluate a three-step segmentation algorithm for identifying needles in ARFI images.
To overlay ARFI-derived needle predictions onto coregistered B-mode ultrasound images.
To enhance needle visibility and accuracy in clinical ultrasound applications.

Main Methods:

A three-step algorithm involving contrast enhancement (median and Laplacian filtration), noise suppression (correlation coefficient thresholding), and smoothing (outlier removal, best-fit line prediction).
Application of the algorithm to datasets of 18, 21, and 25-gauge needles at various offsets and angles relative to the transducer.
Quantitative assessment of needle tip visualization accuracy.

Main Results:

The algorithm successfully identified needles in ARFI images.
Needle tips were visualized within 2 mm of their actual position for horizontal orientations up to 1.5 mm offset.
Accurate visualization was achieved for on-axis angled needles between 10-35 degrees.

Conclusions:

Segmented ARFI images overlaid on B-mode images significantly improve needle visibility.
This approach holds promise for enhancing the safety and efficacy of ultrasound-guided interventions.
The developed algorithm offers a practical solution to overcome limitations in current ultrasound needle guidance.