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Performance evaluation of breast image compression techniques

Abstract

Novel diagnosis orienting tele working systems manipulate, store, and process medical data through real time communication - conferencing schemes. One of the most important factors affecting the performance of these systems is image handling. Compression algorithms can be applied to the medical images, in order to minimize : a) the volume of data to be stored in the database, b) the demanded bandwidth from the network, c) the transmission costs, and to minimize the speed of the transmitted data. In this paper an estimation of all the factors of the process that affect the presentation of breast images is made, from the time the images are produced from a modality, till the compressed images are stored, or transmitted in a Broadband network (e.g. B-ISDN). The images used were scanned images of the TOR(MAX) Leeds breast phantom, as well as typical breast images. A comparison of seven compression techniques has been done, based on objective criteria such as Mean Square Error (MSE), resolution, contrast, etc. The user can choose the appropriate compression ratio in order to achieve the desired image quality. (authors). 12 refs, 4 figs.
Authors:
Anastassopoulos, G; Lymberopoulos, D; [1]  Panayiotakis, G; Bezerianos, A [2] 
  1. Wire Communications Laboratory, Electrical Engineering Department, University of Patras, Greece (Greece)
  2. Medical Physics Department, School of Medicine, University of Patras, Greece (Greece)
Publication Date:
Dec 31, 1994
Product Type:
Conference
Report Number:
INIS-CY-0001; CONF-940530-
Reference Number:
SCA: 550602; PA: AIX-29:011307; EDB-98:046031; SN: 98001938882
Resource Relation:
Conference: MPBE `94: 1. international conference on medical physics and biomedical engineering, Nicosia (Cyprus), 3-7 May 1994; Other Information: DN: 12 refs, 4 figs.; PBD: 1994; Related Information: Is Part Of Proceedings of the international conference on medical physics and biomedical engineering. Vol. 1; Spyrou, S.; Christofides, S.; Pattichis, C.S.; Keravnou, E.; Schizas, C.N.; Christodoulides, G. [eds.]; PB: 279 p.
Subject:
55 BIOLOGY AND MEDICINE, BASIC STUDIES; ALGORITHMS; COMMUNICATIONS; COMPRESSION; COMPUTER NETWORKS; DATA; DATA TRANSMISSION; DIAGNOSTIC TECHNIQUES; DIGITAL SYSTEMS; IMAGE PROCESSING; IMAGES; MAMMARY GLANDS; REAL TIME SYSTEMS
OSTI ID:
595673
Research Organizations:
Cyprus Association of Medical Physics and Biomedical Engineering (CAMPBE), Nicosia (Cyprus); Cyprus Univ., Nicosia (Cyprus). Dept. of Computer Science.
Country of Origin:
Cyprus
Language:
English
Other Identifying Numbers:
Other: ON: DE98605204; ISBN 9963-607-04-7; TRN: CY9700009011307
Availability:
INIS; OSTI as DE98605204
Submitting Site:
INIS
Size:
pp. 193-197
Announcement Date:

Citation Formats

Anastassopoulos, G, Lymberopoulos, D, Panayiotakis, G, and Bezerianos, A. Performance evaluation of breast image compression techniques. Cyprus: N. p., 1994. Web.
Anastassopoulos, G, Lymberopoulos, D, Panayiotakis, G, & Bezerianos, A. Performance evaluation of breast image compression techniques. Cyprus.
Anastassopoulos, G, Lymberopoulos, D, Panayiotakis, G, and Bezerianos, A. 1994. "Performance evaluation of breast image compression techniques." Cyprus.
@misc{etde_595673,
title = {Performance evaluation of breast image compression techniques}
author = {Anastassopoulos, G, Lymberopoulos, D, Panayiotakis, G, and Bezerianos, A}
abstractNote = {Novel diagnosis orienting tele working systems manipulate, store, and process medical data through real time communication - conferencing schemes. One of the most important factors affecting the performance of these systems is image handling. Compression algorithms can be applied to the medical images, in order to minimize : a) the volume of data to be stored in the database, b) the demanded bandwidth from the network, c) the transmission costs, and to minimize the speed of the transmitted data. In this paper an estimation of all the factors of the process that affect the presentation of breast images is made, from the time the images are produced from a modality, till the compressed images are stored, or transmitted in a Broadband network (e.g. B-ISDN). The images used were scanned images of the TOR(MAX) Leeds breast phantom, as well as typical breast images. A comparison of seven compression techniques has been done, based on objective criteria such as Mean Square Error (MSE), resolution, contrast, etc. The user can choose the appropriate compression ratio in order to achieve the desired image quality. (authors). 12 refs, 4 figs.}
place = {Cyprus}
year = {1994}
month = {Dec}
}