| Paper: | FR-AM-OS1.5 | ||
| Session: | PET and SPECT Image Reconstruction | ||
| Time: | Friday, April 7, 11:10 - 11:30 | ||
| Presentation: | Oral | ||
| Title: | Statistical Modeling and Reconstruction of Randoms Pre-Corrected PET Data | ||
| Authors: | Quanzheng Li; University of Southern California | ||
| Richard M. Leahy; University of Southern California | |||
| Abstract: | Randoms pre-corrected PET data is formed as the difference of two Poisson random variables. Its exact probability mass function (PMF) is not suitable for use in likelihood-based iterative image reconstruction because of an innite summation in the expression. The shifted Poisson model is a tractable approximation to this PMF but requires that negative values are discarded. We analyze the properties of the exact PMF and propose a new simple but accurate approximation that includes negative valued data. We investigate the properties of this approximation and demonstrate its application to penalized maximum likelihood image reconstruction. | ||
ISBI 2006 is sponsored by
 |
 |
 |
and organized in cooperation with
 |
 |
©2011 Conference Management Services, Inc. -||- email: webmaster@biomedicalimaging.org -||- Last updated Friday, February 03, 2006