Abstract
This paper presents a fast, six degrees of freedom registration technique to accurately locate the position and orientation of medical volumes (obtained from CT/MRI scans for the same patient) with respect to each other. The main contribution of this work is the use of a novel surface registration technique followed by a volume registration approach. The advantage of this combination is to have an accurate alignment and to reduce the time needed for registration. The surface registration uses a new surface representation scheme that captures the curvature information and codes it into 2-D images. Matching these images enables the recovery of the transformation parameters. For the multi-modal volume registration, the maximization of Mutual Information (MI) is used as a matching criterion and is enhanced by a new genetic based search technique. The results demonstrate that the new two-stage registration technique presented in this paper is robust in terms of speed and accuracy and allows for completely automatic registration of multimodality medical volumes.
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Keywords
- Mutual Information
- Transformation Parameter
- Reference Volume
- Point Correspondence
- Registration Technique
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References
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© 1999 Springer-Verlag Berlin Heidelberg
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Eldeib, A.M., Yamany, S.M., Farag, A.A. (1999). Multi-modal Medical Volumes Fusion by Surface Matching. In: Taylor, C., Colchester, A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI’99. MICCAI 1999. Lecture Notes in Computer Science, vol 1679. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10704282_73
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DOI: https://doi.org/10.1007/10704282_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66503-8
Online ISBN: 978-3-540-48232-1
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