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Fully Three-Dimensional Tomographic Evolutionary Reconstruction in Nuclear Medicine

  • Aurélie Bousquet
  • Jean Louchet
  • Jean-Marie Rocchisani
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4926)

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.

Keywords

Computer Tomography Emission Tomography Artificial Evolution Parisian Evolution FlyAlgorithm Compton scattering Nuclear Medicine 

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Aurélie Bousquet
    • 1
  • Jean Louchet
    • 1
  • Jean-Marie Rocchisani
    • 1
    • 2
  1. 1.INRIA Rocquencourt/ COMPLEXDomaine de VoluceauLe ChesnayFrance
  2. 2.UFR SMBH & Avicenne hospitalParis XIII UniversityBobignyFrance

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