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) |
|---|---|
| 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 |
|---|---|
| Country | 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
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Cite this
Wang, G., Li, C., Cherry, S. R., & Qi, J. (2011). Statistical image reconstruction for hybrid fluorescence optical tomography and positron emission tomography. In Proceedings - International Symposium on Biomedical Imaging (pp. 488-491). [5872451] https://doi.org/10.1109/ISBI.2011.5872451