Article

Compression of mammograms for medical practice

Author:

Artur PrzelaskowskiAuthors Info & Claims

SAC '04: Proceedings of the 2004 ACM symposium on Applied computing

Pages 249 - 253

https://doi.org/10.1145/967900.967955

Published: 14 March 2004 Publication History

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Abstract

This paper considers effective compression methods for mammogram storing and interchange. A controversy problem of irreversible compression of medical images is studied in clinical tests to check usefulness and possibility of acceptance of wavelet-based compression for clinical applications. Diagnostic accuracy is measured in abnormality detection tests with ROC-based analysis, and by subjective rating of diagnostically important image features affecting lesion symptoms and image ordering according to preserved diagnostic accuracy. The efficiency of the most approved lossless coders is compared to efficiency of irreversible wavelet coding in acceptable rate range. General conclusion is that more effective irreversible compression of mammograms up to 1bpp is safe (i.e. preserves diagnostic accuracy), according to opinions of radiologists participating the experiments and presented results.

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Cited By

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Dragan DIvetic D(2010)Quality evaluation of medical image compression: What to measure?IEEE 8th International Symposium on Intelligent Systems and Informatics10.1109/SISY.2010.5647355(37-42)Online publication date: Sep-2010
https://doi.org/10.1109/SISY.2010.5647355
Seeram E(2006)Irreversible compression in digital radiology. A literature reviewRadiography10.1016/j.radi.2005.04.00212:1(45-59)Online publication date: Feb-2006
https://doi.org/10.1016/j.radi.2005.04.002
Visser ROostveen LKarssemeijer N(2006)Lossless compression of digital mammogramsProceedings of the 8th international conference on Digital Mammography10.1007/11783237_72(533-540)Online publication date: 18-Jun-2006
https://dl.acm.org/doi/10.1007/11783237_72
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Index Terms

Compression of mammograms for medical practice
1. Computing methodologies
  1. Computer graphics
    1. Image compression

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Published In

SAC '04: Proceedings of the 2004 ACM symposium on Applied computing

March 2004

1733 pages

ISBN:1581138121

DOI:10.1145/967900

Conference Chair:
Hisham M. Haddad
Kennesaw State University
,
Program Chairs:
Andrea Omicini
Università degli Studi di Bologna a Cesena
,
Roger L. Wainwright
University of Tulsa
,
Publications Chair:
Lorie M. Liebrock
New Mexico Institute of Mining and Technology

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 14 March 2004

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SAC04: The 2004 ACM Symposium on Applied Computing

March 14 - 17, 2004

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Cited By

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Dragan DIvetic D(2010)Quality evaluation of medical image compression: What to measure?IEEE 8th International Symposium on Intelligent Systems and Informatics10.1109/SISY.2010.5647355(37-42)Online publication date: Sep-2010
https://doi.org/10.1109/SISY.2010.5647355
Seeram E(2006)Irreversible compression in digital radiology. A literature reviewRadiography10.1016/j.radi.2005.04.00212:1(45-59)Online publication date: Feb-2006
https://doi.org/10.1016/j.radi.2005.04.002
Visser ROostveen LKarssemeijer N(2006)Lossless compression of digital mammogramsProceedings of the 8th international conference on Digital Mammography10.1007/11783237_72(533-540)Online publication date: 18-Jun-2006
https://dl.acm.org/doi/10.1007/11783237_72
Przelaskowski A(2006)EXPERIMENTAL COMPARISON OF LOSSLESS IMAGE CODERS FOR MEDICAL APPLICATIONSComputer Vision and Graphics10.1007/1-4020-4179-9_31(216-221)Online publication date: 2006
https://doi.org/10.1007/1-4020-4179-9_31

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Effects of JPEG2000 data compression on an automated system for detecting clustered microcalcifications in digital mammograms

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