Multifrequency Joint Reconstruction of Ultrasonic Attenuation Images

Edmundo A. Miranda, Adrian Basarab, Roberto Lavarello

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

1 Scopus citations


The estimation of attenuation coefficient slope (ACS) using the Spectral Log Difference (SLD) technique has presented high variability, leading to the use of regularization approaches. To address this issue, a previous study proposed the isolated denoising of the spectral log ratios at each frequency (TVSLD). In this study, we present a multifrequency joint method (WTNV-SLD) that leverages spatial structures from different frequencies during denoising, using a weighted total nuclear variation (WTNV) to improve the quality of ACS images. The selection of WTNV prior assumes that the spectral ratios across all frequencies are expected to exhibit the same geometrical shape. We compared the performance of the TVSLD and WTNV-SLD methods using mean percentage error (MPE) and Contrast-to-Noise Ratio (CNR) with simulated and physical phantom data. In the simulation, the results showed that WTNV-SLD outperformed TVSLD, achieving higher CNR (5.5 vs. 3.2) and lower MPE in both background (0.46% vs 1.8%) and inclusion (0.25% vs 7.1%) regions. In the physical phantom, WTNV-SLD and TVSLD obtained a similar MPE in the inclusion (0.10% and 0.41%, respectively) and in the background (6.5% and 7.9%, respectively), but achieved a higher CNR (4.1 vs. 2.6). Results suggest exploiting geometrical similarities among frequency channels improves ACS imaging, providing a better trade-off between MPE and CNR.

Original languageEnglish
Title of host publicationIUS 2023 - IEEE International Ultrasonics Symposium, Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9798350346459
StatePublished - 2023
Event2023 IEEE International Ultrasonics Symposium, IUS 2023 - Montreal, Canada
Duration: 3 Sep 20238 Sep 2023

Publication series

NameIEEE International Ultrasonics Symposium, IUS
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727


Conference2023 IEEE International Ultrasonics Symposium, IUS 2023


  • attenuation coefficient slope
  • joint reconstruction
  • quantitative ultrasound
  • total nuclear variation
  • ultrasonic attenuation images
  • weighted nuclear norm


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