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Proceedings Paper

Multiscale entropy analysis in dynamic contrast-enhanced MRI
Author(s): Andreas Degenhard; Marc Mutz; Tim W. Nattkemper; Axel Saalbach; Thorsten Twellmann; Mark J. White; Michael Khazen; Linda Pointon; Martin O. Leach
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Paper Abstract

In this paper we apply multiscale entropy (MSE) analysis to data obtained from magnetic resonance imaging of the female breast. All cases include lesions that were histologically proven as malignant tumors. Our results indicate that multiscale entropy analysis can play an important role in the detection of tumor tissue when applied to single datasets, but does not allow to calculate universal morphological features. The performance of MSE was examined with respect to traditional features such as difference imaging.

Paper Details

Date Published: 12 May 2004
PDF: 12 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.534433
Show Author Affiliations
Andreas Degenhard, Univ. Bielefeld (Germany)
Marc Mutz, Univ. Bielefeld (Germany)
Tim W. Nattkemper, Univ. Bielefeld (Germany)
Axel Saalbach, Univ. Bielefeld (Germany)
Thorsten Twellmann, Univ. Bielefeld (Germany)
Mark J. White, Institute of Cancer Research (United Kingdom)
Michael Khazen, Institute of Cancer Research (United Kingdom)
Linda Pointon, Institute of Cancer Research (United Kingdom)
Martin O. Leach, Institute of Cancer Research (United Kingdom)


Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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