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Proceedings Paper

Normalized similarity measures for medical image registration
Author(s): Anton Bardera; Miquel Feixas; Imma Boada
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Paper Abstract

Two new similarity measures for rigid image registration, based on the normalization of Jensen's difference applied to Renyi and Tsallis-Havrda-Charvat entropies, are introduced. One measure is normalized by the first term of Jensen's difference, which in our proposal coincides with the marginal entropy, and the other by the joint entropy. These measures can be seen as an extension of two measures successfully applied in medical image registration: the mutual information and the normalized mutual information. Experiments with various registration modalities show that the new similarity measures are more robust than the normalized mutual information for some modalities and a determined range of the entropy parameter. Also, a certain improvement on accuracy can be obtained for a different range of this parameter.

Paper Details

Date Published: 12 May 2004
PDF: 11 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.536106
Show Author Affiliations
Anton Bardera, Univ. de Girona (Spain)
Miquel Feixas, Univ. de Girona (Spain)
Imma Boada, Univ. de Girona (Spain)


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

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