Skip to Main content Skip to Navigation
Conference papers

On Multifractal Tissue Characterization in Ultrasound Imaging

Edouard Villain 1 Herwig Wendt 1 Adrian Basarab 1 Denis Kouamé 1
1 IRIT-MINDS - CoMputational imagINg anD viSion
IRIT - Institut de recherche en informatique de Toulouse
Abstract : Tissue characterization based on ultrasound (US) images is an extensively explored research field. Most of the existing techniques are focused on the estimation of statistical or acoustic parameters from the backscattered radio-frequency signals, thus complementing the visual inspection of the conventional B-mode images. Additionally, a few studies show the interest of analyzing the fractal or multifractal behavior of human tissues, in particular of tumors. While biological experiments sustain such multifractal behaviors, the observations on US images are rather empirical. To our knowledge, there is no theoretical or practical study relating the fractal or multifractal parameters extracted from US images to those of the imaged tissues. The aim of this paper is to investigate how multifractal properties of a tissue correlate with the ones estimated from a simulated US image for the same tissue. To this end, an original simulation pipeline of multifractal tissues and their corresponding US images is proposed. Simulation results are compared to those in an in vivo experiment.
Document type :
Conference papers
Complete list of metadatas

Cited literature [18 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02397481
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Friday, December 6, 2019 - 3:22:49 PM
Last modification on : Tuesday, September 8, 2020 - 10:52:07 AM
Long-term archiving on: : Saturday, March 7, 2020 - 3:37:32 PM

File

villain_24731.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02397481, version 1
  • OATAO : 24731

Citation

Edouard Villain, Herwig Wendt, Adrian Basarab, Denis Kouamé. On Multifractal Tissue Characterization in Ultrasound Imaging. 16th IEEE International Symposium on Biomedical Imaging (ISBI 2019), Apr 2019, Venice, Italy. pp.1708-1712. ⟨hal-02397481⟩

Share

Metrics

Record views

44

Files downloads

88