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 new reconstruction approach for reflection mode diffraction tomography.

M A Anastasio1, X Pan

  • 1Dept. of Radiol., Chicago Univ., IL 60637, USA. anastasi@jedi.bsd.uchicago.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 12, 2008
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

Precise Measurement of the Chromoelectric Dipole Moment of the Charm Quark.

Physical review letters·2026
Same author

First Measurement of Time-Dependent CP Violation in the Flavor-Changing Neutral-Current Decay B^{0}→K_{S}^{0}μ^{+}μ^{-}.

Physical review letters·2026
Same author

Measurement of the Top-Quark Production Cross Section and Charge Asymmetry at LHCb.

Physical review letters·2026
Same author

Precise Measurement of Matter-Antimatter Asymmetry with Entangled Hyperon-Antihyperon Pairs.

Physical review letters·2026
Same author

Sodium Selenite Attenuates Monocrotaline-Induced Pulmonary Arterial Hypertension by Upregulating GPX3 and Ameliorating Vascular Remodeling.

Physiological research·2026
Same author

Searches for B^{0}→K^{+}π^{-}τ^{+}τ^{-} and B_{s}^{0}→K^{+}K^{-}τ^{+}τ^{-} Decays.

Physical review letters·2026
Same journal

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BayeTopo: Bayesian-based Topology-guided Learning for Vascular Imaging Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Reflection mode diffraction tomography (RM DT) uses backscattered data to create images. This study introduces new algorithms to reduce image variance, enhancing feature detection in low signal-to-noise ratio scenarios.

Area of Science:

  • Acoustics
  • Image Reconstruction
  • Wave Scattering

Background:

  • Reflection mode diffraction tomography (RM DT) is an established inversion scheme for reconstructing acoustical refractive index distributions.
  • Existing RM DT methods face challenges with image variance, particularly in low signal-to-noise ratio (SNR) conditions, hindering the detection of subtle features.

Purpose of the Study:

  • To reveal statistically complementary information within backscattered data in RM DT.
  • To propose novel reconstruction algorithms that leverage this complementary information for bias-free reduction of image variance.
  • To enhance the detectability of subtle image features in RM DT, especially under low SNR conditions.

Main Methods:

  • Development of reconstruction algorithms exploiting statistically complementary information in backscattered data.

Related Experiment Videos

  • Theoretical investigation of noise properties for the proposed algorithms.
  • Numerical validation of the algorithms using multifrequency sources and uncorrelated noise.

    • Main Results:

    • Demonstration of statistically complementary information in backscattered data for RM DT.
    • Successful implementation of reconstruction algorithms leading to bias-free reduction of image variance.
    • Quantification of noise propagation characteristics for different multifrequency sources.

    Conclusions:

    • The proposed reconstruction algorithms effectively reduce image variance in RM DT, improving feature detectability.
    • Exploiting complementary information in backscattered data is crucial for enhancing RM DT image quality.
    • The findings provide a pathway for more robust and sensitive acoustical imaging in challenging environments.