Monte Carlo methods. Vol. 1: basics
Monte Carlo methods. Vol. 1: basics
Artificial evolution for 3D PET reconstruction
EA'09 Proceedings of the 9th international conference on Artificial evolution
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
New genetic operators in the fly algorithm: application to medical PET image reconstruction
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
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3-D reconstruction in Nuclear Medicine imaging using completeMonte-Carlo simulation of trajectories usually requires high computingpower. We are currently developing a Parisian Evolution Strategy in order toreduce the computing cost of reconstruction without degrading the quality ofresults. Our approach derives from the Fly algorithm which proved successfulon real-time stereo image sequence processing. Flies are considered here asphoton emitters. We developed the marginal fitness technique to calculate thefitness function, an approach usable in Parisian Evolution whenever eachindividual's fitness cannot be calculated independently of the rest of thepopulation.