Artificial Evolution Strategy for PET Reconstruction

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Electronic versions

Other documents

  • F. P. Vidal
  • Y. L. Pavia
  • J.-M. Rocchisani
  • J. Louchet
  • É. Lutton
This paper shows new resutls of our artificial evolution algorithm for Positron Emission Tomography (PET) reconstruction. This imaging technique produces datasets corresponding to the concentration of positron emitters within the patient. Fully three-dimensional (3D) tomographic reconstruction requires high computing power and leads to many challenges. Our aim is to produce high quality datasets in a time that is clinically acceptable. Our method is based on a co-evolution strategy called the ``Fly algorithm''. Each fly represents a point in space and mimics a positron emitter. Each fly position is progressively optimised using evolutionary computing to closely match the data measured by the imaging system. The performance of each fly is assessed based on its positive or negative contribution to the performance of the whole population. The final population of flies approximates the radioactivity concentration. This approach has shown promising results on numerical phantom models. The size of objects and their relative concentrations can be calculated in two-dimensional (2D) space. In (3D), complex shapes can be reconstructed. In this paper, we demonstrate the ability of the algorithm to fidely reconstruct more anatomically realistic volumes.


  • Evolutionary computation, inverse problems, adaptive algorithm, Nuclear medicine, Positron emission tomography, Reconstruction algorithms
Original languageEnglish
Title of host publicationInternational Conference on Medical Imaging Using Bio-Inspired and Soft Computing (MIBISOC2013)
Place of PublicationBrussels, Belgium
Number of pages8
ISBN (Electronic)978-3-642-14156-0
ISBN (Print)978-3-642-14155-3
Publication statusPublished - 1 May 2013
EventInternational Conference on Medical Imaging Using Bio-Inspired and Soft Computing - Brussels, Belgium
Duration: 15 May 201317 May 2013

Publication series

NameLecture Notes in Computer Science


ConferenceInternational Conference on Medical Imaging Using Bio-Inspired and Soft Computing
Abbreviated titleMIBISOC2013
View graph of relations