Simultaneous Compression and De-Speckling of Medical Ultrasound Images

Shira Nemirovsky Rotman, Zvi Friedman, Moshe Porat

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

Abstract

Compression of medical ultrasound images is necessary in order to meet storage and transmission requirements. Moreover, de-speckling is essential for diagnostic applications. We propose an algorithm for simultaneous compression and de-speckling of ultrasound images, based on optimization of quantization parameters applied on the coefficients of the coding transform. The optimization is applied in the rate-fidelity space, such that for a given target compression ratio, an optimal fidelity is obtained with respect to an a-priori known de-speckled image. The algorithm was tested on a set of fetal images. Results show that the reconstructed images better resemble the de-speckled images, compared to those obtained using standard quantization.

Original languageEnglish
Title of host publication2019 IEEE International Ultrasonics Symposium, IUS 2019
PublisherIEEE Computer Society
Pages1448-1450
Number of pages3
ISBN (Electronic)9781728145969
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event2019 IEEE International Ultrasonics Symposium, IUS 2019 - Glasgow, United Kingdom
Duration: 6 Oct 20199 Oct 2019

Publication series

NameIEEE International Ultrasonics Symposium, IUS
Volume2019-October
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727

Conference

Conference2019 IEEE International Ultrasonics Symposium, IUS 2019
Country/TerritoryUnited Kingdom
CityGlasgow
Period6/10/199/10/19

Bibliographical note

Funding Information:
This work was supported by the Israeli Ministry of Science and Technology and by the Ollendorff Minerva Centre of the Andrew and Erna Viterbi Faculty of Electrical Engineering at the Technion - Israel Institute of Technology. Minerva is funded through the BMBF.

Publisher Copyright:
© 2019 IEEE.

Keywords

  • de-speckling
  • fetal ultrasound images
  • fidelity
  • Image compression
  • quantization

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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