Abstract
We have developed a hybrid system for imaging small animals using fluorescence optical tomography (FOT) and positron emission tomography (PET) simultaneously. This paper presents a statistical method for reconstructing spatial distribution of dual-labeled tracers from the combined PET and FOT data. We use the Poisson likelihood function for the PET data and Gaussian distribution for the FOT data. The log-posterior density function is maximized by an optimization transfer algorithm. Computer simulations show that the hybrid reconstruction using combined PET-FOT data can achieve a better bias versus standard deviation performance than reconstructions using either PET or FOT data alone.
Original language | English (US) |
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Title of host publication | Proceedings - International Symposium on Biomedical Imaging |
Pages | 488-491 |
Number of pages | 4 |
DOIs | |
State | Published - 2011 |
Event | 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States Duration: Mar 30 2011 → Apr 2 2011 |
Other
Other | 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 |
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Country/Territory | United States |
City | Chicago, IL |
Period | 3/30/11 → 4/2/11 |
Keywords
- fluorescence optical tomography
- image reconstruction
- Positron emission tomography
ASJC Scopus subject areas
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging