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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ortega Maynez, Leticia Kosters, Thomas Uhlendorf, Volkmar Wubbeling, Frank Schafers, Klaus Reader, Andrew J. |
| Copyright Year | 2008 |
| Description | Author affiliation: CEAS at the University of Manchester, UK (Ortega Maynez, Leticia) || Institute for Pharmaceutical Sciences, ETH Zurich, Switzerland (Uhlendorf, Volkmar) || Montreal Neurological Institute, McGill University, Quebec, H3A 2B4, Canada (Reader, Andrew J.) || Mathematics and Computer Science at University of Münster, Germany (Kosters, Thomas) |
| Abstract | A novel method for the estimation of list-mode detector scatter is proposed, which can in principle be implemented in real-time during raw PET data acquisition. The method displaces the event detection positions within the list-mode data (according to a scatter kernel) to create new events which are distributed according to the background detector scatter component. The approach operates in detector data space, and in effect uses shift-variant kernels when considered in parallel projection-data space. Point sources located at different positions in the field-of-view (FOV) were used to assess the method, along with extensive phantom experiments. List-mode data for an $^{18}F$ rat bone scan (18 MBq) acquired with the quad-HIDAC PET scanner was reconstructed including the correction for the scatter and randoms background, demonstrating the method’s efficacy. |
| Starting Page | 5277 |
| Ending Page | 5284 |
| File Size | 8981590 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424427147 |
| ISSN | 10957863 |
| DOI | 10.1109/NSSMIC.2008.4774425 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-19 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Detectors Scattering Image resolution Positron emission tomography High-resolution imaging Event detection Kernel Data acquisition Imaging phantoms Bones |
| Content Type | Text |
| Resource Type | Article |
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