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Image fusion using geometrical features
Home
Publications
Image fusion using geometrical features
Image fusion using geometrical features
PE
Petra A. van Den Elsen
Petra A. van Den Elsen
JM
J. B. Antoine Maintz
J. B. Antoine Maintz
EP
Evert-Jan D. Pol
Evert-Jan D. Pol
MV
Max A. Viergever
Max A. Viergever
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22 September 1992
conference paper
Published by
SPIE-Intl Soc Optical Eng
Vol. 1808
,
172-186
https://doi.org/10.1117/12.131076
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.© (1992) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Keywords
DIFFERENTIAL OPERATORS
MAGNETIC RESONANCE IMAGING
SCALE SPACE
BRAIN IMAGING
IMAGE FUSION
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Open Access
Cited by 11 articles