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 Experiment Videos

Elastographic imaging using staggered strain estimates.

S Srinivasan1, J Ophir, S K Alam

  • 1The University of Texas Medical School, Department of Radiology, Ultrasonics Laboratory, 6431 Fannin St. MSB 2.100, Houston, TX 77030, USA.

Ultrasonic Imaging
|April 1, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Early Detection of Acute Kidney Injury by Neutrophil Gelatinase Associated Lipocalin in Patients Undergoing Coronary Artery Bypass Grafting with Cardiopulmonary Bypass.

Mymensingh medical journal : MMJ·2021
Same author

DNA damage-induced ephrin-B2 reverse signaling promotes chemoresistance and drives EMT in colorectal carcinoma harboring mutant p53.

Cell death and differentiation·2015
Same author

Elastography of beef muscle.

Meat science·2011
Same author

The use of elastography to measure quality characteristics of pork semimembranosus muscle.

Meat science·2011
Same author

The anti-inflammatory target A(3) adenosine receptor is over-expressed in rheumatoid arthritis, psoriasis and Crohn's disease.

Cellular immunology·2009
Same author

A deconvolution filter for improvement of time-delay estimation in elastography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2008
Same journal

A Multi-Task Segmentation and Classification Network Based on Ultrasound Images for Predicting the Grading of Ascites in the Abdominal Cavity.

Ultrasonic imaging·2026
Same journal

Hybrid Physics-Driven Deep Learning for Enhanced Ultrasound Image Quality and Speckle Noise Suppression.

Ultrasonic imaging·2026
Same journal

Application of Super-Resolution Ultrasound Contrast Imaging in Differentiating Benign From Malignant Breast Tumors.

Ultrasonic imaging·2026
Same journal

A Novel Preprocessing Method for Common Carotid Artery Ultrasound Images Based on Phase Asymmetry Metric and Non-subsampled Shearlet Transform.

Ultrasonic imaging·2026
Same journal

Generalized Null Subtraction Factor: A Post-Filtering Framework for Contrast Enhancement in Ultrafast Ultrasound Imaging.

Ultrasonic imaging·2026
Same journal

Fourier Beamforming of Ultrasound Signals From Chirp Transmits Using the Chirp Scaling Algorithm.

Ultrasonic imaging·2026
See all related articles

A new multistep strain estimation technique improves elastography image quality by reducing noise at high window overlaps. This method enhances signal-to-noise ratio (SNRe) and contrast-to-noise ratio (CNRe) without sacrificing spatial resolution.

Area of Science:

  • Medical imaging
  • Biomedical engineering
  • Ultrasound elastography

Background:

  • Conventional elastography estimates strain using cross-correlation of RF A-lines.
  • High window overlaps in conventional methods introduce noise, limiting image quality and resolution.
  • This noise restricts techniques to low window overlaps, resulting in fewer image pixels.

Purpose of the Study:

  • To introduce a novel multistep strain estimation technique for improved elastography.
  • To overcome the limitations of conventional methods regarding noise and resolution.
  • To enhance the signal-to-noise ratio (SNRe) and contrast-to-noise ratio (CNRe) in elastograms.

Main Methods:

  • A multistep approach computes initial elastograms with non-overlapped windows.

Related Experiment Videos

  • Subsequent elastograms are generated by shifting data windows by a fraction of their size.
  • Staggered elastograms are combined to form the final, high-resolution image.

    • Main Results:

    • The technique demonstrated significant improvements in SNRe and CNRe at high window overlaps.
    • Simulations and experiments confirmed enhanced image quality compared to conventional methods.
    • No noticeable loss of spatial resolution was observed with the proposed technique.

    Conclusions:

    • The multistep strain estimation technique effectively reduces algorithmic noise in elastograms.
    • This method allows for high window overlaps, improving image quality and pixel density.
    • The technique shows promise for enhancing diagnostic capabilities in ultrasound elastography.