Registration of Non-Segmented Images Using a Genetic Algorithm

  • Jean-José Jacq
  • Christian Roux
Conference paper

DOI: 10.1007/978-3-540-49197-2_23

Volume 905 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Jacq JJ., Roux C. (1995) Registration of Non-Segmented Images Using a Genetic Algorithm. In: Ayache N. (eds) Computer Vision, Virtual Reality and Robotics in Medicine. Lecture Notes in Computer Science, vol 905. Springer, Berlin, Heidelberg

Abstract

The proposed method aims at solving the global 3—D automatic non—rigid registration problem of two volume datasets coming from the same modality without any segmentation. The tested algorithm combines a voxel based approach with an optimization procedure carried out by a simple genetic algorithm. The method is based on the search for the polynomial warping model which minimizes a L1 distance between two volumes datasets. To avoid prohibitive computational cost, the genetic algorithm uses a stochastic fitness function which operates on randomly selected measure sites in neighbourhoods of contours, with an adaptive search space scaling scheme. Application of the method is made to the elastic registration of 3—D CT volumes and gives good results in a reasonable processing time.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Jean-José Jacq
    • 1
  • Christian Roux
    • 1
  1. 1.Département Images et Traitement de l’Information Télécom Bretagne, Laboratoire de Traitement de l’Information MédicaleTechnopôle de Brest IroiseBrest-CédexFrance