Evaluation of a fully automatic medical image registration algorithm based on mutual information

Authors:
Attila Tanács;Attila Kuba
Affiliations:
Department of Foundations of Computer Science, University of Szeged, 6720 Szeged, Árpád tér 2, Hungary;Department of Applied Informatics, University of Szeged, 6720 Szeged, Árpád tér 2, Hungary
Venue:
Acta Cybernetica
Year:
2003

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Abstract

Registration is a fundamental task in image processing. Its purpose is to find a geometrical transformation that relates the points of an image to their corresponding points of another image. Many registration algorithms have been proposed in the past decade. We present a fast, fully automatic algorithm that is capable of solving rigid-body registration of 3D images of the human brain where the images are taken by different imaging devices. We joined the Retrospective Registration Evaluation Project conducted by Vanderbilt University, USA. The evaluations of our results show that our method has the potential to produce satisfactory results, but visual inspection is necessary to guard against large errors.