BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Artificial evolution strategy for pet reconstruction - Franck Vida
 l\, School of Computer Science\, Bangor University 
DTSTART:20131122T140000Z
DTEND:20131122T150000Z
UID:TALK48141@talks.cam.ac.uk
CONTACT:Dr Eileen Nugent
DESCRIPTION:We present new results of our artificial evolution algorithm f
 or Positron Emission Tomography (PET) reconstruction. This imaging techniq
 ue produces datasets corresponding to the concentration of positron emitte
 rs within the patient. Fully three-dimensional (3D) tomographic reconstruc
 tion requires high computing power and leads to many challenges. Our aim i
 s to produce high quality datasets in a time that is clinically acceptable
 . Our method is based on a co-evolution strategy called the “Fly algorit
 hm”. 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 ap
 proximates the radioactivity concentration. This approach has shown promis
 ing results on numerical phantom models. The size of objects and their rel
 ative concentrations can be calculated in two-dimensional (2D) space. In (
 3D)\, complex shapes can be reconstructed. We demonstrate the ability of t
 he algorithm to fidely reconstruct more anatomically realistic volumes.
LOCATION:Small Lecture Theatre\, Cavendish Laboratory
END:VEVENT
END:VCALENDAR