DocumentCode :
2804468
Title :
Detection performance analysis for time-of-flight PET
Author :
Cao, Nannan ; Huesman, Ronald H. ; Moses, William W. ; Qi, Jinyi
Author_Institution :
Dept. of Biomed. Eng., Univ. of California at Davis, Davis, CA, USA
fYear :
2009
fDate :
June 28 2009-July 1 2009
Firstpage :
402
Lastpage :
405
Abstract :
In this paper, we investigate the performance of time-of-flight (TOF) PET in improving lesion detectability. We present a theoretical approach to compare lesion detectability of TOF versus non-TOF systems. Computer simulations are performed to validate the theoretical predictions. A TOF PET tomograph is simulated using the SimSET software. Images are reconstructed from list-mode data using a maximum a posteriori (MAP) method. We use a channelized Hotelling observer (CHO) to assess the detection performance. Both the receiver operating characteristic (ROC) and localization ROC (LROC) curves are compared for the TOF and non-TOF PET systems. We also study the SNR gains for TOF PET with different scatter and random fractions. Simulation results match with the theoretical predictions very well. Both results show that the TOF information improves lesion detectability and the improvement is greater with larger fractions of randoms and scatters.
Keywords :
image reconstruction; maximum likelihood estimation; medical image processing; positron emission tomography; sensitivity analysis; wounds; SimSET software; channelized Hotelling observer; computer simulations; lesion detection performance analysis; maximum a posteriori method; random fractions; receiver operating characteristic analysis; scatter fractions; time-of-flight PET; Computational modeling; Computed tomography; Computer simulation; Image reconstruction; Lesions; Light scattering; Particle scattering; Performance analysis; Positron emission tomography; Reconstruction algorithms; Channelized Hotelling observer; LROC; ROC; TOF-PET; lesion detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
ISSN :
1945-7928
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2009.5193069
Filename :
5193069
Link To Document :
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