Abstract
A novel method is proposed for elastic matching of two data volumes. A combination of mutual information, gradient information and smoothness of transformation is used to guide the deformation of another of the volumes. The deformation is accomplished in a multiresolution process by spheres containing a vector field. Position and radius of the spheres are varied. The feasibility of the method is demonstrated in two cases: matching inter-patient MR images of the head and intra-patient cardiac MR and PET images.
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Keywords
- Mutual Information
- Positron Emission Tomography Image
- Breast Magnetic Resonance Image
- Deformable Model
- Gradient Information
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© 2001 Springer-Verlag Berlin Heidelberg
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Lötjönen, J., Mäkelä, T. (2001). Elastic Matching Using a Deformation Sphere. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3_65
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DOI: https://doi.org/10.1007/3-540-45468-3_65
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