NDLI: Quality Measures for Decompressed Medical Images: Statistics, Observers, and ROCs

Content Provider	IEEE Xplore Digital Library
Author	Dunling Li Loew, M.H.
Copyright Year	2007
Description	Author affiliation: Dept. of Electr. & Comput. Eng., George Washington Univ., DC (Dunling Li; Loew, M.H.)
Abstract	The diagnostic value of a medical image after it has been decompressed is a very practical measure of the image quality and the compression method. A computational observer can be used to make decisions based on an image and thus can provide an assessment of diagnostic value. This paper provides a closed-form estimate of the channelized Hotelling observer's (CHO) output. In medical applications, CHO has been used successfully to predict human observer performance and to evaluate image quality for detection tasks in various backgrounds. To date, it has been used only empirically - i.e., on a set of images - to evaluate compressed image quality. Using a representation of compression noise this paper derives in closed-form the corresponding CHO test statistics and performance. The performance (as measured by the receiver operating characteristic [ROC]) is verified using decompressed JPEG lumpy-background images. The verification results show that the derived ROCs predict the estimated ROCs very well.
File Size	4503930
File Format	PDF
ISBN	1424407273
ISSN	15206149
DOI	10.1109/ICASSP.2007.366679
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomedical imaging Statistics Image quality Image coding Medical diagnostic imaging Medical services Biomedical equipment Humans Testing Statistical analysis visual system quantization decision-making image reconstruction
Content Type	Text
Resource Type	Article

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