3D deformable registration for monitoring radiotherapy treatment in prostate cancer

  • Authors:

  • Borja Rodríguez-Vila;Johanna Pettersson;Magnus Borga;Feliciano García-Vicente;Enrique J. Gómez;Hans Knutsson

  • Affiliations:

  • Bioengineering and Telemedicine Group, Universidad Politécnica de Madrid, Spain;Department of Biomedical Engineering and Center for Medical Image Science and Visualization, Linköping University, Sweden;Department of Biomedical Engineering and Center for Medical Image Science and Visualization, Linköping University, Sweden;Medical Physics, Radiotherapy Department, University Hospital La Princesa, Spain;Bioengineering and Telemedicine Group, Universidad Politécnica de Madrid, Spain;Department of Biomedical Engineering and Center for Medical Image Science and Visualization, Linköping University, Sweden

  • Venue:
  • SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
  • Year:
  • 2007

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Abstract

Two deformable registration methods, the Demons and the Morphon algorithms, have been used for registration of CT datasets to evaluate their usability in radiotherapy planning for prostate cancer. These methods were chosen because they can perform deformable registration in a fully automated way. The experiments show that for intrapatient registration both of the methods give useful results, although some differences exist in the way they deform the template. The Morphon method has, however, some advantageous compared to the Demons method. It is invariant to the image intensity and it does not distort the deformed data. The conclusion is therefore to recommend the Morphon method as a registration tool for this application. A more flexible regularization model is needed, though, in order to be able to catch the full range of deformations required to match the datasets.