Name
Title | ||
|---|---|---|
Statistical image reconstruction for hybrid fluorescence optical tomography and positron emission tomography |
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ISBI.2011.5872451 | ISBI |
Keywords | Field | DocType |
optimisation,optical tomography,poisson distribution,dual-labeled tracers,biomedical optical imaging,optimization transfer algorithm,log-posterior density function,statistical analysis,hybrid system,gaussian distribution,fluorescence,pet,image reconstruction,statistical image reconstruction,fluorescence optical tomography,positron emission tomography,poisson likelihood function,medical image processing,fot,standard deviation,computer simulation,optical imaging,likelihood function | Nuclear medicine,Artificial intelligence,Positron emission tomography,Optical tomography,Iterative reconstruction,Likelihood function,Pattern recognition,Optics,Gaussian,Hybrid system,Probability density function,Standard deviation,Physics | Conference |
ISSN | ISBN | Citations |
1945-7928 E-ISBN : 978-1-4244-4128-0 | 978-1-4244-4128-0 | 1 |
PageRank | References | Authors |
0.41 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guobao Wang | 1 | 86 | 12.68 |
| Changqing Li | 2 | 1 | 2.10 |
| Simon R. Cherry | 3 | 6 | 3.17 |
| Jinyi Qi | 4 | 284 | 35.82 |