Multimodal Elastic Matching of Brain Images
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
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Intensity-based registration of dynamic imaging data (for example for motion correction of contrast-enhanced MRI) or multi-modal fusion requires the use of a correlation measure that has good photometric invariance properties. We suggest that scale-localized image reconstruction prior to registration (based on the feature saliency of the images to be registered) often produces a better first estimation of a transformation, particularly if intensity conservation is assumed.