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Scatter Analysis of the ClearPET™ Neuro Using Monte Carlo Simulations

  • Anna M. Fulterer
  • Stephan Schneider
  • Brigitte Gundlich
  • Patrick Musmann
  • Simone Weber
  • Thorsten M. Buzug
Conference paper
Part of the Springer Proceedings in Physics book series (SPPHY, volume 114)

Abstract

Scatter reduces the image quality in Positron Emission Tomography (PET). In this paper we discuss a) methods to estimate the scatter fraction in the raw data set as well as b) analysis of the different scatter components (e.g. phantom scatter, gantry scatter) arising from activity outside the field of view (OFOV). The PET detection system does not allow a discrimination of scattered events, thus Monte Carlo Simulations were used. The accuracy of the different scatter estimation methods was analyzed. Simulations with OFOV activity showed that small animal PET systems are indeed sensitive to random and scattered events from OFOV.

Keywords

Positron Emission Tomography Line Source Compton Scattering Scattered Event Medical Engineer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Anna M. Fulterer
    • 1
    • 2
  • Stephan Schneider
    • 2
    • 3
  • Brigitte Gundlich
    • 2
  • Patrick Musmann
    • 2
  • Simone Weber
    • 2
  • Thorsten M. Buzug
    • 4
  1. 1.Institute of Material PhysicsTU GrazAustria
  2. 2.Zentralinstitut für ElektronikForschungszentrum Jülich GmbHJülichGermany
  3. 3.Department of Mathematics and TechnologyRheinAhrCampus RemagenRemagenGermany
  4. 4.Institute of Medical EngineeringUniversity of LuebeckLuebeckGermany

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