Abstract
Many PET scanners nowadays have the possibility to record event-by-event information, known as listmode data. This has the advantage to keep the data in the highest possible resolution (both temporal and spatial). In most cases, listmode data are then binned into sinogram format before reconstruction. In this paper, we discuss at which stage normalisation factors should be introduced. It is shown that noise is greatly reduced by performing the normalisation after the binning. We also briefly discuss the consequences for strictly listmode-based algorithms. We illustrate this with acquired and simulated data for the quad HiDAC camera.
Original language | English (US) |
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Pages | 1559-1563 |
Number of pages | 5 |
State | Published - 2001 |
Externally published | Yes |
Event | 2001 IEEE Nuclear Science Symposium Conference Record - San Diego, CA, United States Duration: Nov 4 2001 → Nov 10 2001 |
Other
Other | 2001 IEEE Nuclear Science Symposium Conference Record |
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Country/Territory | United States |
City | San Diego, CA |
Period | 11/4/01 → 11/10/01 |
ASJC Scopus subject areas
- Radiation
- Nuclear and High Energy Physics
- Radiology Nuclear Medicine and imaging