DocumentCode
3533604
Title
Improvement in signal-to-noise ratio at variable random fraction in TOF PET
Author
Tabacchini, V. ; Mettivier, G. ; Conti, M. ; Russo, P.
Author_Institution
Dipt. di Sci. Fisiche, Univ. di Napoli Federico II, Naples, Italy
fYear
2010
fDate
Oct. 30 2010-Nov. 6 2010
Firstpage
2761
Lastpage
2764
Abstract
Time of Flight (TOF) Positron Emission Tomography (PET) produces an improvement in signal-to-noise ratio (SNR) over conventional non-TOF reconstruction. This improvement increases with the size of the patient and with better coincidence time resolution of the system. As a first approximation in TOF PET reconstruction, this gain in SNR is independent of the scatter and random components of the total signal. On the other hand, recently a model has been proposed in which the SNR gain of TOF PET vs. conventional PET is a growing function of the random events fraction. This would provide an additional advantage of TOF PET reconstruction over conventional PET, particularly in the presence of a large random fraction. In this work we show measurements on a NEMA image quality phantom on a Siemens Biograph mCT TOF PET/CT scanner, which confirms the prediction of the model for filtered back projection reconstruction algorithms, in the case of a non uniform source distribution. The implication is that not only is TOF reconstruction more advantageous for large patients, but also the improvement is higher for PET scans performed at higher count rates, compared to a conventional non-TOF reconstruction.
Keywords
image reconstruction; image resolution; medical image processing; phantoms; positron emission tomography; NEMA image quality phantom; Siemens Biograph mCT TOF PET-CT scanner; TOF PET; coincidence time resolution; filtered back projection reconstruction algorithms; gain; nonTOF reconstruction; nonuniform source distribution; random events fraction; signal-to-noise ratio; time of flight positron emission tomography; variable random fraction; Computed tomography; Image quality; Image reconstruction; Mathematical model; Phantoms; Positron emission tomography; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
Conference_Location
Knoxville, TN
ISSN
1095-7863
Print_ISBN
978-1-4244-9106-3
Type
conf
DOI
10.1109/NSSMIC.2010.5874296
Filename
5874296
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