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Evaluation of a Fully Automatic Medical Image Registration Algorithm Based on Mutual Information1
Attila Tanács 2 and Attila Kuba 3
Acta Cybernetica 16 (2003) 327-336. 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. Keywords: registration problem; automatic multimodal registration; registration accuracy; Footnotes
This work was supported by OTKA T023804 and FKFP 0908/1999 Grants. Department of Foundations of Computer Science, University of Szeged, 6720 Szeged, Árpád tér 2, Hungary, e-mail: tanacs@inf.u-szeged.hu Department of Applied Informatics, University of Szeged, 6720 Szeged, Árpád tér 2, Hungary, e-mail: kuba@inf.u-szeged.hu Web administrator 2003-10-14 |
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