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A novel fusion scheme for volumetric medical imagery based on first-order local variational information is presented. The authors first define the contrast of a volumetric image with an arbitrary number of bands, which corresponds with the 3D gradient in the special case of a single-band image with a Euclidean metric. This contrast of multi-band image is regarded as the target contrast field. The next step is to look for a single-band volumetric image as the fusion result, which will have the closest gradient field to the contrast of the input multi-band image. It is a functional extremum problem. Using the variational approach, it leads directly to its Euler-Lagrange equation. By iteration of gradient descent, the final result can be obtained. Experimental results are presented to support the performance of the method.
Vision, Image and Signal Processing, IEE Proceedings - (Volume:153 , Issue: 2 )
Date of Publication: 6 April 2006