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

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.",

keywords = "Image compression, de-speckling, fetal ultrasound images, fidelity, quantization",

author = "Rotman, \{Shira Nemirovsky\} and Zvi Friedman and Moshe Porat",

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

year = "2019",

month = oct,

doi = "10.1109/ULTSYM.2019.8925852",

language = "English",

series = "IEEE International Ultrasonics Symposium, IUS",

publisher = "IEEE Computer Society",

pages = "1448--1450",

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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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N2 - 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.

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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