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Semi-automatic Image Registration of MRI to CT Data of the Prostate Using Gold Markers as Fiducials

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Biomedical Image Registration (WBIR 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2717))

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Abstract

An accurate image registration of MRI to CT data is of great benefit for prostate treatment planning in image-guided radiotherapy. However, prostate motion with respect to surrounding structures and absence of clear structures in and of the prostate in the CT image, complicate this registration. Therefore, we developed a semi-automatic method for a robust, accurate and time efficient image registration of MRI to CT data of the prostate, making use of gold markers, that are inserted in the prostate, as fiducials. The gold markers, as they appear on both images, are segmented using a thresholding technique. The registration deals with a rigid transformation and is based on the iterative closest point algorithm that acts onto the surfaces of the segmented gold markers. The method is clinically tested and uncertainties of 0.4-0.5 mm and 0.7-1.4 mm are obtained at the centre and at the rim of the prostate, respectively.

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Author information

Authors and Affiliations

  1. Department of Radiology, University Medical Center St. Radboud, Geert Grooteplein-Zuid 10, Postbus 9101, 6500 HB, Nijmegen, The Netherlands

    Jorn A. van Dalen, H. J. Huisman, A. Welmers & J. O. Barentsz

Authors
  1. Jorn A. van Dalen
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  2. H. J. Huisman
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  3. A. Welmers
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  4. J. O. Barentsz
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Editor information

Editors and Affiliations

  1. Departments of Radiology, University of Pennsylvania,  

    James C. Gee

  2. Department of Computer Science, Utrecht University, PO Box 80089, NL-3508TB, Utrecht, The Netherlands

    J. B. Antoine Maintz

  3. Department of Radiology, University of Chicago,  

    Michael W. Vannier

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© 2003 Springer-Verlag Berlin Heidelberg

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van Dalen, J.A., Huisman, H.J., Welmers, A., Barentsz, J.O. (2003). Semi-automatic Image Registration of MRI to CT Data of the Prostate Using Gold Markers as Fiducials. In: Gee, J.C., Maintz, J.B.A., Vannier, M.W. (eds) Biomedical Image Registration. WBIR 2003. Lecture Notes in Computer Science, vol 2717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39701-4_33

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  • DOI: https://doi.org/10.1007/978-3-540-39701-4_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20343-8

  • Online ISBN: 978-3-540-39701-4

  • eBook Packages: Springer Book Archive

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