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

A wavefield extrapolation method for simulating B-scan images.

S Finette1

  • 1Department of Biomedical Engineering, Rutgers University, Piscataway, NJ 08855.

Ultrasonic Imaging
|July 1, 1987
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

Detection on a distributed network using information geometry.

JASA express letters·2022
Same author

Synthetic B-scan images by numerical solution of a wave equation.

Ultrasonic imaging·1988
Same author

A computer model of acoustic wave scattering in soft tissue.

IEEE transactions on bio-medical engineering·1987
Same author

Computational methods for simulating ultrasonic scattering in soft tissue.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·1987
Same author

Breast tissue classification using diagnostic ultrasound and pattern recognition techniques: I. Methods of pattern recognition.

Ultrasonic imaging·1983
Same author

Breast tissue classification using diagnostic ultrasound and pattern recognition techniques: II. Experimental results.

Ultrasonic imaging·1983
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

This study introduces a hybrid algorithm to speed up acoustic imaging simulations for B-scan images. The new method significantly reduces computation time and storage needs for acoustical imaging systems.

Area of Science:

  • Acoustical imaging
  • Biomedical engineering
  • Computational physics

Background:

  • Simulations of B-scan images are crucial for acoustical imaging systems.
  • Current simulation methods can be computationally intensive, requiring significant CPU time and storage.
  • Efficient simulation is key to advancing diagnostic capabilities in medical imaging.

Purpose of the Study:

  • To develop a more efficient algorithm for simulating B-scan images in acoustical imaging systems.
  • To reduce the computational resources required for acoustic field propagation and scattering calculations.
  • To enhance the practical application of acoustical imaging through faster simulations.

Main Methods:

  • A hybrid simulation approach combining two distinct methods.

Related Experiment Videos

  • Utilizing Rayleigh-Sommerfeld diffraction theory to model the propagated acoustic field.
  • Employing a time-domain scattering algorithm to compute the scattered field from biological tissues.
  • Eliminating discrete time updates on the computational grid between the source and tissue.

    • Main Results:

    • Achieved considerable savings in CPU time compared to traditional methods.
    • Demonstrated significant reductions in required array storage.
    • The hybrid method efficiently handles both propagated and scattered acoustic fields.
    • Successfully simulated B-scan images with improved computational efficiency.

    Conclusions:

    • The proposed hybrid algorithm offers a substantial improvement in the efficiency of B-scan image simulations.
    • This method is particularly beneficial for acoustical imaging systems utilizing water paths.
    • The reduction in computational demands facilitates more complex and rapid simulations in medical acoustics.