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

Reconstruction in diffraction imaging.

M Soumekh1, J H Choi

  • 1Dept. of Electr. and Comput. Eng., State Univ. of New York at Buffalo, Amherst, NY.

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|January 1, 1989
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

A phase 2 randomized controlled trial using biologics to improve multi OIT outcomes (COMBINE): design, rationale, and methods.

Frontiers in allergy·2026
Same author

First Measurement of Missing Energy due to Nuclear Effects in Monoenergetic Neutrino Charged-Current Interactions.

Physical review letters·2025
Same author

Correction to: A pharmacogenomic study on the pharmacokinetics of tacrolimus in healthy subjects using the DMET<sup>TM</sup> Plus platform.

The pharmacogenomics journal·2024
Same author

Presumed primary cardiac mast cell tumor, pericardial effusion, and arrhythmia in a dog.

Journal of veterinary cardiology : the official journal of the European Society of Veterinary Cardiology·2023
Same author

Deep Learning-Based Prediction of the 3D Postorthodontic Facial Changes.

Journal of dental research·2022
Same author

A simplified cranial cavity model to understand the relationship between intracranial pressure and dural sinus pressure.

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences·2022
Same journal

Theoretical Foundations of the Echo Envelope Statistical Modeling: A Tutorial.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Practical Demonstrations of FR3-Band Thin-Film Lithium Niobate Acoustic Filter Design.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Real-Time Heterogeneous Helical Wave Spectrum Method for Transabdominal Passive Acoustic Mapping.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Cascaded Plane Wave Ultrasound Velocity Vector Imaging: In Vivo Feasibility in Carotid Arteries.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Quantitative Acoustic Attenuation Scanning Using a Phase-Insensitive Ultrasound Computed Tomography System.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

FPGA-Accelerated CNN Reconstruction for Low-Power Sparse-Array Ultrasound Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
See all related articles

Accurate image reconstruction using diffraction imaging is improved by spectral analysis of wave data. This method enhances algorithms and reduces computation time for better results.

Area of Science:

  • Optics and Wave Physics
  • Computational Imaging
  • Signal Processing

Background:

  • Diffraction imaging systems often rely on the Helmholtz wave equation for modeling.
  • Accurate image reconstruction is crucial but faces computational challenges.
  • Existing methods like filtered backpropagation and unified Fourier reconstruction have limitations.

Purpose of the Study:

  • To address the problem of image reconstruction in Helmholtz wave equation-based systems.
  • To develop improved algorithms and constraints for accurate diffraction imaging.
  • To explore methods for reducing the computational time of reconstruction algorithms.

Main Methods:

  • Spectral analysis of diffraction data was performed.
  • Algorithms and constraints for diffraction imaging parameters were developed based on spectral analysis.

Related Experiment Videos

  • Execution time reduction techniques were investigated.

    • Main Results:

    • Spectral analysis provides insights into diffraction data for improved reconstruction.
    • Developed algorithms and constraints enhance the accuracy of image reconstruction.
    • Methods for reducing algorithm execution time were identified and discussed.

    Conclusions:

    • Spectral analysis is a valuable tool for advancing diffraction imaging reconstruction.
    • The study offers a pathway to more efficient and accurate imaging systems.
    • Findings contribute to the optimization of computational imaging techniques.