Combining Homogenization and Registration

Jan Modersitzki, Stefan Wirtz


We present a novel approach for a combined homogenization and registration technique. Medical image data is often disturbed by inhomogeneities from staining, illumination or attenuation. State-of-the-art approaches tackle homogenization and registration separately. Our new method attacks both troublemakers simultaneously. It is modeled as a minimization problem of a functional consisting of a distance measure and regularizers for the displacement field and the grayscale correction term. The simultaneous homogenization and registration enables an automatic correction of gray values and improves the local contrast. The combined approach takes slightly more computing time for an optimization step as compared to the non-combined scheme and so is much faster than sequential methods. We tested the performance both on academic and real life data. It turned out, that the combined approach enhances image quality, especially the visibility of slightly differentiable structures.
Original languageEnglish
Title of host publicationBiomedical Image Registration
EditorsJosien P. W. Pluim, Bostjan Likar, Frans A. Gerritsen
Number of pages7
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Publication date01.07.2006
ISBN (Print)978-3-540-35648-6
ISBN (Electronic)978-3-540-35649-3
Publication statusPublished - 01.07.2006
Event3rd International Workshop on Biomedical Image Registration - Utrecht, Netherlands
Duration: 09.07.200611.07.2006
Conference number: 67916


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