Ultrasound spatiotemporal despeckling via Kronecker wavelet-Fisz thresholding - Physics, Radiobiology, Medical Imaging, and Simulation (PRIMES) Access content directly
Journal Articles Signal, Image and Video Processing Year : 2018

Ultrasound spatiotemporal despeckling via Kronecker wavelet-Fisz thresholding

Abstract

We propose a novel framework for despeckling ultrasound image sequences while respecting the structural details. More precisely, we use thresholding in an adapted wavelet domain that jointly takes into account for the non-Gaussian statistics of the noise and the differences in spatial and temporal regularities. The spatiotemporal wavelet is obtained via the Kronecker product of two sparsifying wavelet bases acting, respectively, on the spatial and temporal domains. Besides enabling a structured sparse representation of the time–space plan, it also makes it possible to perform a variance stabilization routine on the spatial domain through a Fisz transformation. The proposed method enjoys adaptability, easy tuning and theoretical guaranties. We propose the corresponding algorithm together with results that demonstrate the benefits of the proposed spatiotemporal approach over the successive spatial treatment. Finally, we describe a data-driven extension of the proposed method that is based on temporal pre-filtering.
Fichier principal
Vignette du fichier
Farouj-18_pre-print Hal Ultrasound spatiotemporal despeckling via Kronecker wavelet-Fisz thresholding.pdf (657.87 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01912719 , version 1 (25-01-2024)

Identifiers

Cite

Younes Farouj, Laurent Navarro, Jean-Marc Freyermuth, Marianne Clausel, Philippe Delachartre. Ultrasound spatiotemporal despeckling via Kronecker wavelet-Fisz thresholding. Signal, Image and Video Processing, 2018, 12 (6), pp.1125 - 1132. ⟨10.1007/s11760-018-1260-6⟩. ⟨hal-01912719⟩
191 View
11 Download

Altmetric

Share

Gmail Facebook X LinkedIn More