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Proceedings Paper

Application of strong zerotrees to compression of correlated MRI image sets
Author(s): Olexandr M. Soloveyko; Yurij S. Musatenko; Vitalij N. Kurashov; Vladislav A. Dubikovskiy
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Paper Abstract

It is known that gainful interframe compression of magnetic resonance(MR) image set is quite difficult problem. Only few authors reported gain in performance of compressors like that comparing to separate compression of every MR image from the set (intraframe compression). Known reasons of such a situation are significant noise in MR images and presence of only low frequency correlations in images of the set. Recently we suggested new method of correlated image set compression based on Karhunen-Loeve(KL) transform and special EZW compression scheme with strong zerotrees(KLSEZW). KLSEZW algorithm showed good results in compression of video sequences with low and middle motion even without motion compensation. The paper presents successful application of the basic method and its modification to interframe MR image compression problem.

Paper Details

Date Published: 28 August 2001
PDF: 9 pages
Proc. SPIE 4388, Visual Information Processing X, (28 August 2001); doi: 10.1117/12.438260
Show Author Affiliations
Olexandr M. Soloveyko, National Taras Shevchenko Univ. of Kyiv (Ukraine)
Yurij S. Musatenko, National Taras Shevchenko Univ. of Kyiv (Ukraine)
Vitalij N. Kurashov, National Taras Shevchenko Univ. of Kyiv (Ukraine)
Vladislav A. Dubikovskiy, CREOL/Univ. of Central Florida (United States)

Published in SPIE Proceedings Vol. 4388:
Visual Information Processing X
Stephen K. Park; Zia-ur Rahman; Robert A. Schowengerdt, Editor(s)

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