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Automated multimodality registration using the full affine transformation: Application to MR and CT guided skull base surgery

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Visualization in Biomedical Computing (VBC 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1131))

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Abstract

We have used a twelve degrees of freedom global affine registration technique incorporating a multiresolution optimisation of mutual information to register MR and CT images with uncertain voxel dimensions and CT gantry tilt. Visual assessment indicates improved accuracy, without loss of robustness compared to rigid body registration.

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Authors and Affiliations

  1. Division of Radiological Sciences, United Medical and Dental Schools of Guy's and St. Thomas' Hospitals Guy's Hospital, London Bridge, SE1 9RT, London, UK

    Colin Studholme, John A. Little, Graeme P. Penny, Derek L. G. Hill & David J. Hawkes

Authors
  1. Colin Studholme
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  2. John A. Little
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  3. Graeme P. Penny
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  4. Derek L. G. Hill
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  5. David J. Hawkes
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Editor information

Karl Heinz Höhne Ron Kikinis

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© 1996 Springer-Verlag Berlin Heidelberg

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Studholme, C., Little, J.A., Penny, G.P., Hill, D.L.G., Hawkes, D.J. (1996). Automated multimodality registration using the full affine transformation: Application to MR and CT guided skull base surgery. In: Höhne, K.H., Kikinis, R. (eds) Visualization in Biomedical Computing. VBC 1996. Lecture Notes in Computer Science, vol 1131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0047003

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  • DOI: https://doi.org/10.1007/BFb0047003

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61649-8

  • Online ISBN: 978-3-540-70739-4

  • eBook Packages: Springer Book Archive

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