Image fusion using geometrical features

Petra A. van den Elsen M.D.; J. B. Antoine Maintz; Evert-Jan D. Pol; Max A. Viergever

doi:10.1117/12.131076

22 September 1992 Image fusion using geometrical features

Petra A. van den Elsen M.D., J. B. Antoine Maintz, Evert-Jan D. Pol, Max A. Viergever

Proceedings Volume 1808, Visualization in Biomedical Computing '92; (1992) https://doi.org/10.1117/12.131076
Event: Visualization in Biomedical Computing, 1992, Chapel Hill, NC, United States

Abstract

This paper describes a new approach to register images obtained from different modalities. Differential operators in scale space are used to extract geometric features from the images corresponding to similar structures. The resulting feature images may be matched by minimizing some function of the distances between the features in the respective images. Our first application concerns matching of brain images. We discuss a differential operator that produces ridge-like feature images from which the center curve of the cranium is easily extracted in CT and MRI. Results of the performance of these operators in 2-D matching tasks are presented. In addition, the potential of this approach for multimodality matching of 3-D medical images is illustrated by the striking similarity of the ridge images extracted from CT and MR images by the 3-D version of the operator.

Citation Download Citation

Petra A. van den Elsen M.D., J. B. Antoine Maintz, Evert-Jan D. Pol, and Max A. Viergever "Image fusion using geometrical features", Proc. SPIE 1808, Visualization in Biomedical Computing '92, (22 September 1992); https://doi.org/10.1117/12.131076

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