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We consider elastic registration of medical image data based on thin-plate splines using a set of corresponding anatomical point landmarks. Previous work on this topic has concentrated on using interpolation schemes. Such s c hemes force the corresponding landmarks to exactly match each other and assume that the landmark positions are known exactly. H o(More)
We investigate the extraction of corresponding anatomical point landmarks in MR and CT images of the human head using 3D diierential operators for the extraction of isocon-tour curvature extrema. We carried out experiments measuring the sensitivity to noise, the localization accuracy, the false detection rate and the registration accuracy. Based on the(More)
The computational reconstruction of surface topographies from scanning electron microscope (SEM) images has been extensively investigated in the past, but fundamental image processing problems still exist. Since conventional approaches adapted from general-purpose image processing have not sufficiently met the requirements in terms of resolution and(More)
Previous work on nonrigid registration of medical images based on thin-plate splines has concentrated on using interpolation schemes. Such schemes force the corresponding landmarks to exactly match each other and thus assume that the landmark positions are known exactly. However, in real applications the localization of landmarks is always prone to error.(More)
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