Skip to Main content Skip to Navigation
Conference papers

Deconvolution for improved multifractal characterization of tissues in ultrasound images

Abstract : Several existing studies showed the interest of estimating the multifractal properties of tissues in ultrasound (US) imaging. However, US images are not carrying information only about the tissues, but also about the US scanner. Deconvolution methods are a common way to restore the tissue reflectivity function, but, to our knowledge, their impact on estimated fractal or multifractal behavior has not been studied yet. The objective of this paper is to investigate this influence through a dedicated simulation pipeline and an in vivo experiment.
Document type :
Conference papers
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02942345
Contributor : Open Archive Toulouse Archive Ouverte (oatao) Connect in order to contact the contributor
Submitted on : Thursday, September 17, 2020 - 5:23:05 PM
Last modification on : Wednesday, October 27, 2021 - 8:28:21 AM
Long-term archiving on: : Saturday, December 5, 2020 - 3:20:24 AM

File

wendt_26323.pdf
Files produced by the author(s)

Identifiers

`

Citation

Herwig Wendt, Mohamad Hourani, Adrian Basarab, Denis Kouamé. Deconvolution for improved multifractal characterization of tissues in ultrasound images. 17th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2020), Apr 2020, Iowa City, United States. pp.605-608, ⟨10.1109/ISBI45749.2020.9098549⟩. ⟨hal-02942345⟩

Share

Metrics

Record views

43

Files downloads

93