Scatter Analysis of the ClearPET™ Neuro Using Monte Carlo Simulations

Anna M. Fulterer, Stephan Schneider, Brigitte Gundlich, Patrick Musmann, Simone Weber, Thorsten M. Buzug


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.
Original languageEnglish
Title of host publicationAdvances in Medical Engineering
EditorsThorsten M. Buzug, Dietrich Holz, Jens Bongartz, Matthias Kohl-Bareis, Ulrich Hartmann, Simone Weber
Number of pages6
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Publication date01.01.2007
ISBN (Print)978-3-540-68763-4
ISBN (Electronic)978-3-540-68764-1
Publication statusPublished - 01.01.2007


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