Locally Optimal Run-Length Compression Applied to CT Images

Run-length data compression techniques are described that preserve image content. After decompression, images are restored to their original state without loss in image gray scale or resolution. The first technique introduces terminology and illustrates a simple method for efficient picture archivin...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 1985-01, Vol.4 (2), p.84-90
Main Authors: Rhodes, Michael L., Quinn, John F., Silvester, John
Format: Article
Language:English
Subjects:
Application software
Biological and medical sciences
Biomedical imaging
Computed tomography
Data compression
Digital images
Image coding
Image representation
Image storage
Investigative techniques, diagnostic techniques (general aspects)
Medical diagnostic imaging
Medical sciences
Miscellaneous. Technology
Radiodiagnosis. Nmr imagery. Nmr spectrometry
Terminology
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Description
Summary:Run-length data compression techniques are described that preserve image content. After decompression, images are restored to their original state without loss in image gray scale or resolution. The first technique introduces terminology and illustrates a simple method for efficient picture archiving. It demonstrates the principle of run-length techniques. A second more general approach encodes picture information in a manner that adapts to local variation in pixel standard deviation. Among several options of compression formats, the one that delivers the best local compression is selected. Results of our compression techniques are given for several hundred computed tomography (CT) pictures with comparison to image entropy measures. A general solution to the optimal run-length compression of digital data is outlined. Routine application of the locally optimal method is also described.
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.1985.4307701