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Proceedings Paper

f-information measures in medical image registration
Author(s): Josien P.W. Pluim; J. B. Antoine Maintz; Max A. Viergever
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Paper Abstract

A much-used measure for registration of three-dimensional medical images is mutual information, which originates from information theory. However, information theory offers many more measures that may be suitable for image registration. Such measures denote the divergence of the joint grey value distribution of two images from the joint distribution for complete independence of the images. This paper compares the performance of mutual information as a registration measure with that of other information measures. The measures are applied to rigid registration of clinical PET/MR and MR/CT images, for 35 and 41 image pairs respectively. An accurate gold standard transformation is available for the images, based on implanted markers. Both registration performance and accuracy of the measures are studied. The results indicate that some information measures perform very poorly for the chosen registration problems, yielding many misregistrations, even when using a good starting estimate. Other measures, however, were shown to produce significantly more accurate results than mutual information.

Paper Details

Date Published: 3 July 2001
PDF: 9 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431132
Show Author Affiliations
Josien P.W. Pluim, Univ. Medical Ctr. Utrecht (Netherlands)
J. B. Antoine Maintz, Univ. Medical Ctr. Utrecht (Netherlands)
Max A. Viergever, Univ. Medical Ctr. Utrecht (Netherlands)

Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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