Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-7315
Authors: Cideciyan, Artur V.
Nagel, Joachim H.
Title: Multi-modality image registration using the Hough transform
Issue Date: 1990
metadata.ubs.publikation.typ: Konferenzbeitrag
metadata.ubs.publikation.source: Proceedings of the 12. conference of the IEEE Engineering in Medicine and Biology Society. Piscataway, N.J., 1990, S. 141-142
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-54631
http://elib.uni-stuttgart.de/handle/11682/7332
http://dx.doi.org/10.18419/opus-7315
Abstract: We present a method for finding relative translation and rotation between images of different modalities, for cases in which external contours can be approximated by ellipses. The Hough transform is used to map the feature space to the parameter space. The feature space consists of the pixel coordinates and gradient direction of all possible edge points, and the parameter space defines all acceptable ellipses. The difference between ellipse parameters, calculated separately for each image, is used to determine the relative translation and rotation. The images are assumed to be corrected for scale. The method is tested on simulated images and on pairs of actual PET/MRI images of the brain.
Appears in Collections:15 Fakultätsübergreifend / Sonstige Einrichtung

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