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Published in: Journal of Digital Imaging 6/2012

01-12-2012

Extreme Compression for Extreme Conditions: Pilot Study to Identify Optimal Compression of CT Images Using MPEG-4 Video Compression

Authors: P. Gabriel Peterson, Sung K. Pak, Binh Nguyen, Genevieve Jacobs, Les Folio

Published in: Journal of Imaging Informatics in Medicine | Issue 6/2012

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Abstract

This study aims to evaluate the utility of compressed computed tomography (CT) studies (to expedite transmission) using Motion Pictures Experts Group, Layer 4 (MPEG-4) movie formatting in combat hospitals when guiding major treatment regimens. This retrospective analysis was approved by Walter Reed Army Medical Center institutional review board with a waiver for the informed consent requirement. Twenty-five CT chest, abdomen, and pelvis exams were converted from Digital Imaging and Communications in Medicine to MPEG-4 movie format at various compression ratios. Three board-certified radiologists reviewed various levels of compression on emergent CT findings on 25 combat casualties and compared with the interpretation of the original series. A Universal Trauma Window was selected at −200 HU level and 1,500 HU width, then compressed at three lossy levels. Sensitivities and specificities for each reviewer were calculated along with 95 % confidence intervals using the method of general estimating equations. The compression ratios compared were 171:1, 86:1, and 41:1 with combined sensitivities of 90 % (95 % confidence interval, 79–95), 94 % (87–97), and 100 % (93–100), respectively. Combined specificities were 100 % (85–100), 100 % (85–100), and 96 % (78–99), respectively. The introduction of CT in combat hospitals with increasing detectors and image data in recent military operations has increased the need for effective teleradiology; mandating compression technology. Image compression is currently used to transmit images from combat hospital to tertiary care centers with subspecialists and our study demonstrates MPEG-4 technology as a reasonable means of achieving such compression.
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Metadata
Title
Extreme Compression for Extreme Conditions: Pilot Study to Identify Optimal Compression of CT Images Using MPEG-4 Video Compression
Authors
P. Gabriel Peterson
Sung K. Pak
Binh Nguyen
Genevieve Jacobs
Les Folio
Publication date
01-12-2012
Publisher
Springer-Verlag
Published in
Journal of Imaging Informatics in Medicine / Issue 6/2012
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-012-9500-8

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