Ringing Artifact Reduction Method for Ultrasound Reconstruction Using Multi-Agent Consensus Equilibrium

Abdulrahman M. Alanazi, Singanallur Venkatakrishnan, Gregery T. Buzzard, Charles A. Bouman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Non-destructive characterization of multi-layered structures that can be accessed from only a single side is important for applications such as well-bore integrity inspection. Existing methods related to Synthetic Aperture Focusing Technique (SAFT) rapidly produce acceptable results but with significant artifacts. Recently, ultrasound model-based iterative reconstruction (UMBIR) approaches have shown significant improvements over SAFT. However, even these methods produce ringing artifacts due to the high fractional-bandwidth of the excitation signal.In this paper, we propose a ringing artifact reduction method for ultrasound image reconstruction that uses a multi-agent consensus equilibrium (RARE-MACE) framework. Our approach integrates a physics-based forward model that accounts for the propagation of a collimated ultrasonic beam in multi-layered media, a spatially varying image prior, and a denoiser designed to suppress the ringing artifacts that are characteristic of reconstructions from high-fractional bandwidth ultrasound sensor data. We test our method on simulated and experimental measurements and show substantial improvements in image quality compared to SAFT and UMBIR.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Image Processing, ICIP 2023 - Proceedings
PublisherIEEE Computer Society
Pages336-340
Number of pages5
ISBN (Electronic)9781728198354
DOIs
StatePublished - 2023
Event30th IEEE International Conference on Image Processing, ICIP 2023 - Kuala Lumpur, Malaysia
Duration: Oct 8 2023Oct 11 2023

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference30th IEEE International Conference on Image Processing, ICIP 2023
Country/TerritoryMalaysia
CityKuala Lumpur
Period10/8/2310/11/23

Funding

This manuscript has been supported by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. G. Buzzard was partially supported by NSF CCF-1763896, and C. Bouman was partially supported by the Showalter Trust. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). A. M. Alanazi was supported by King Saud University. C. A. Bouman was partially supported by the Showalter Trust and by the U.S. Department of Energy. C. A. Bouman and G.T. Buzzard were partially supported by NSF CCF-1763896. S. Venkatakrishnan was supported by the U.S. Department of Energy staff office of the Under Secretary for Science and Energy under the Subsurface Technology and Engineering Research, Development, and Demonstration (Sub-TER) Crosscut program, and the office of Nuclear Energy under the Light Water Reactor Sustainability (LWRS) program.

FundersFunder number
Light Water Reactor Sustainability
Nuclear Energy
Showalter Trust
National Science FoundationCCF-1763896
U.S. Department of Energy
UT-BattelleDE-AC05-00OR22725
King Saud University

    Keywords

    • RARE-MACE
    • UMBIR
    • Ultrasound imaging
    • multi-layered structures
    • ringing artifacts

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