Medical Image Registration Based on BSP and Quad-Tree Partitioning

  • A. Bardera
  • M. Feixas
  • I. Boada
  • J. Rigau
  • M. Sbert
Conference paper

DOI: 10.1007/11784012_1

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4057)
Cite this paper as:
Bardera A., Feixas M., Boada I., Rigau J., Sbert M. (2006) Medical Image Registration Based on BSP and Quad-Tree Partitioning. In: Pluim J.P.W., Likar B., Gerritsen F.A. (eds) Biomedical Image Registration. WBIR 2006. Lecture Notes in Computer Science, vol 4057. Springer, Berlin, Heidelberg

Abstract

This paper presents a study of image simplification techniques as a first stage to define a multiresolution registration framework. We propose here a new approach for image registration based on the partitioning of the source images in binary-space (BSP) and quad-tree structures. These partitioned images have been obtained with a maximum mutual information gain algorithm. Multimodal registration experiments with downsampled, BSP and quadtree partitioned images show an outstanding accuracy and robustness by using BSP images, since the grid effects are drastically reduced. The obtained results indicate that BSP partitioning can provide a suitable framework for multiresolution registration.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • A. Bardera
    • 1
  • M. Feixas
    • 1
  • I. Boada
    • 1
  • J. Rigau
    • 1
  • M. Sbert
    • 1
  1. 1.Institut d’Informàtica i AplicacionsUniversitat de GironaSpain

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