Simultaneous Compression and De-Speckling of Medical Ultrasound Images

Shira Nemirovsky Rotman; Zvi Friedman; Moshe Porat

doi:10.1109/ULTSYM.2019.8925852

Simultaneous Compression and De-Speckling of Medical Ultrasound Images

Shira Nemirovsky Rotman, Zvi Friedman, Moshe Porat

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2019 IEEE International Ultrasonics Symposium, IUS 2019
Publisher	IEEE Computer Society
Pages	1448-1450
Number of pages	3
ISBN (Electronic)	9781728145969
DOIs	https://doi.org/10.1109/ULTSYM.2019.8925852
State	Published - Oct 2019
Externally published	Yes
Event	2019 IEEE International Ultrasonics Symposium, IUS 2019 - Glasgow, United Kingdom Duration: 6 Oct 2019 → 9 Oct 2019

Publication series

Name	IEEE International Ultrasonics Symposium, IUS
Volume	2019-October
ISSN (Print)	1948-5719
ISSN (Electronic)	1948-5727

Conference

Conference	2019 IEEE International Ultrasonics Symposium, IUS 2019
Country/Territory	United Kingdom
City	Glasgow
Period	6/10/19 → 9/10/19

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

Image compression
de-speckling
fetal ultrasound images
fidelity
quantization

ASJC Scopus subject areas

Acoustics and Ultrasonics

Access to Document

10.1109/ULTSYM.2019.8925852

Cite this

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title = "Simultaneous Compression and De-Speckling of Medical Ultrasound Images",

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.",

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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: {\textcopyright} 2019 IEEE.; 2019 IEEE International Ultrasonics Symposium, IUS 2019 ; Conference date: 06-10-2019 Through 09-10-2019",

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month = oct,

doi = "10.1109/ULTSYM.2019.8925852",

language = "English",

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Rotman, SN, Friedman, Z & Porat, M 2019, Simultaneous Compression and De-Speckling of Medical Ultrasound Images. in 2019 IEEE International Ultrasonics Symposium, IUS 2019., 8925852, IEEE International Ultrasonics Symposium, IUS, vol. 2019-October, IEEE Computer Society, pp. 1448-1450, 2019 IEEE International Ultrasonics Symposium, IUS 2019, Glasgow, United Kingdom, 6/10/19. https://doi.org/10.1109/ULTSYM.2019.8925852

Simultaneous Compression and De-Speckling of Medical Ultrasound Images. / Rotman, Shira Nemirovsky; Friedman, Zvi; Porat, Moshe.
2019 IEEE International Ultrasonics Symposium, IUS 2019. IEEE Computer Society, 2019. p. 1448-1450 8925852 (IEEE International Ultrasonics Symposium, IUS; Vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Simultaneous Compression and De-Speckling of Medical Ultrasound Images

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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