Fully Three-Dimensional Tomographic Evolutionary Reconstruction in Nuclear Medicine
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Bousquet:2007:EA,
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author = "Aurelie Bousquet and Jean Louchet and
Jean-Marie Rocchisani",
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title = "Fully Three-Dimensional Tomographic Evolutionary
Reconstruction in Nuclear Medicine",
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booktitle = "Artificial Evolution, 2007",
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year = "2007",
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editor = "Nicolas Monmarche and El-Ghazali Talbi and
Pierre Collet and Marc Schoenauer and Evelyne Lutton",
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volume = "4926",
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series = "Lecture Notes in Computer Science",
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pages = "231--242",
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address = "Tours, France",
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month = oct # " 29-31",
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publisher = "Springer",
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note = "Revised Selected Papers",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-540-79304-5",
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DOI = "doi:10.1007/978-3-540-79305-2_20",
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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.",
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notes = "Published 2008?",
- }
Genetic Programming entries for
Aurelie Bousquet
Jean Louchet
Jean-Marie Rocchisani
Citations