Scatter analysis of the ClearPET™ neuro using Monte Carlo simulations

被引：0
|
作者：
Fulterer, Anna M. [1 ,2 ]
Schneider, Stephan [2 ,3 ]
Gundlich, Brigitte [2 ]
Musmann, Patrick [2 ]
Weber, Simone [2 ]
Buzug, Thorsten M. [4 ]
机构：
[1] Graz Univ Technol, Inst Mat Phys, A-8010 Graz, Austria
[2] ZentInst Elekt, Forschungszentrum Julich GmbH, D-52425 Julich, Germany
[3] RheinAhrCampus Remagen, Dept Math &Technol, D-53424 Remagen, Germany
[4] Univ Lubeck, Inst Med Engn, D-23538 Lubeck, Germany
来源：
ADVANCES IN MEDICAL ENGINEERING | 2007年 / 114卷
关键词：
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
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页码：109 / +
页数：2
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