NDLI: Lossless Medical Image Compression in a Block-Based Storage System

Content Provider	IEEE Xplore Digital Library
Author	Chandra, S. Hsu, W.W.
Copyright Year	2014
Abstract	Medical images are captured in a 16-bit high-resolution grayscale format and are large, frequently reaching MBs per image and PBs for the archive. Regulatory compliance requirements make de-ploying new full image compression techniques difficult. Instead of forcing applications and end users to deal with the deployment complexity, we show that image data can be effectively and transparently compressed by the storage infrastructure. We analyzed our MICA compressor performance using five million publicly available medical images (> 2.2 TB) in three different image formats from eight sources. With 8KB blocks, we achieved 13% better compression, 10% better compression throughput and 782% better uncompression throughput than JPEG-LS. MICA also offered some compression for non-medical data that was incidentally stored in the same storage system.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	400
Ending Page	400
File Size	89164
Page Count	1
File Format	PDF
ISBN	9781479938827
ISSN	10680314
DOI	10.1109/DCC.2014.70
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data compression Block storage Medical Images Compression Storage layer
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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Lossless Medical Image Compression in a Block-Based Storage System