Fully Three-Dimensional Tomographic Evolutionary Reconstruction in Nuclear Medicine

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Aurelie Bousquet and Jean Louchet and 
                 Jean-Marie Rocchisani",
  title =        "Fully Three-Dimensional Tomographic Evolutionary
                 Reconstruction in Nuclear Medicine",
  booktitle =    "Artificial Evolution, 2007",
  year =         "2007",
  editor =       "Nicolas Monmarche and El-Ghazali Talbi and 
                 Pierre Collet and Marc Schoenauer and Evelyne Lutton",
  volume =       "4926",
  series =       "Lecture Notes in Computer Science",
  pages =        "231--242",
  address =      "Tours, France",
  month =        oct # " 29-31",
  publisher =    "Springer",
  note =         "Revised Selected Papers",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-540-79304-5",
  DOI =          "doi:10.1007/978-3-540-79305-2_20",
  abstract =     "3-D reconstruction in Nuclear Medicine imaging using
                 complete Monte-Carlo simulation of trajectories usually
                 requires high computing power. We are currently
                 developing a Parisian Evolution Strategy in order to
                 reduce the computing cost of reconstruction without
                 degrading the quality of results. Our approach derives
                 from the Fly algorithm which proved successful on
                 real-time stereo image sequence processing. Flies are
                 considered here as photon emitters. We developed the
                 marginal fitness technique to calculate the fitness
                 function, an approach usable in Parisian Evolution
                 whenever each individual's fitness cannot be calculated
                 independently of the rest of the population.",
  notes =        "Published 2008?",

Genetic Programming entries for Aurelie Bousquet Jean Louchet Jean-Marie Rocchisani