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Combination of Image Registration Algorithms for Patient Alignement in Proton Beam Therapy

  • Rachid Belaroussi
  • Guillaume Morel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5099)

Abstract

We propose a measure of patient alignment in a video by combining different image representations : grey level, edges, and a set of feature points. When patient head is correctly positionned, a reference image with its ellipse is stored as a template of correct alignment. Edges detection results in a second template of the correct head location. Corners inside the ellipse are detected and tracked: a set of N feature points composes a third template. Template matching computes a measure of similarity between a representation of the reference image and a window sliding around the reference location. Similarity with these three models are combined by the product rule. Location of window the most similar to the templates gives the translation T of the reference model in the image plane. This measure of patient misalignment could avoid X-ray verification of patient alignment, reducing patient dose and duration of treatment sessions.

Keywords

Proton beam therapy expert combination template matching feature points color model camshift 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Rachid Belaroussi
    • 1
  • Guillaume Morel
    • 1
  1. 1.Institut des Systèmes Intelligents et Robotique ParisFrance

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