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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Bousquet, A., Louchet, J., Rocchisani, JM. (2008). Fully Three-Dimensional Tomographic Evolutionary Reconstruction in Nuclear Medicine. In: Monmarché, N., Talbi, EG., Collet, P., Schoenauer, M., Lutton, E. (eds) Artificial Evolution. EA 2007. Lecture Notes in Computer Science, vol 4926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79305-2_20
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DOI: https://doi.org/10.1007/978-3-540-79305-2_20
Publisher Name: Springer, Berlin, Heidelberg
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