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Proceedings Paper

Single- and multimodal subvoxel registration of dissimilar medical images using robust similarity measures
Author(s): Christophoros Nikou; Fabrice Heitz; Jean-Paul Armspach; Izzie-Jacques Namer
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Paper Abstract

Although a large variety of image registration methods have been described in the literature, only a few approaches have attempted to address the rigid registration of medical images showing gross dissimilarities (due for instance to lesion evolution). In the present paper, we develop driven registration algorithms, relying on robust pixel similarity metrics, that enable an accurate (subvoxel) rigid registration of dissimilar single or multimodal 2D/3D images. In the proposed approach, gross dissimilarities are handled by considering similarity measures related to robust M-estimators. A `soft redescending' estimator (the Geman- McClure p-function) has been adopted to reject gross image dissimilarities during the registration. The registration parameters are estimated using a top down stochastic multigrid relaxation algorithm. Thanks to the stochastic multigrid strategy, the registration is not affected by local minima in the objective function and a manual initialization near the optimal solution is not necessary. The proposed robust similarity metrics compare favorably to the most popular standard similarity metrics, on patient image pairs showing gross dissimilarities. Two case studies are considered: the registration of MR/MR and MR/SPECT image volumes of patients suffering from multiple sclerosis and epilepsy.

Paper Details

Date Published: 24 June 1998
PDF: 12 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310863
Show Author Affiliations
Christophoros Nikou, Univ. de Strasbourg I--Univ. Louis Pasteur (France)
Fabrice Heitz, Univ. de Strasbourg I--Univ. Louis Pasteur (France)
Jean-Paul Armspach, Univ. de Strasbourg I--Univ. Louis Pasteur (France)
Izzie-Jacques Namer, Univ. de Strasbourg I--Univ. Louis Pasteur (France)

Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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