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 |
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Keywords
- fluorescence optical tomography
- image reconstruction
- Positron emission tomography
ASJC Scopus subject areas
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging
Cite this
Statistical image reconstruction for hybrid fluorescence optical tomography and positron emission tomography. / Wang, Guobao; Li, Changqing; Cherry, Simon R; Qi, Jinyi.
Proceedings - International Symposium on Biomedical Imaging. 2011. p. 488-491 5872451.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Statistical image reconstruction for hybrid fluorescence optical tomography and positron emission tomography
AU - Wang, Guobao
AU - Li, Changqing
AU - Cherry, Simon R
AU - Qi, Jinyi
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - fluorescence optical tomography
KW - image reconstruction
KW - Positron emission tomography
UR - http://www.scopus.com/inward/record.url?scp=80055061269&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80055061269&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2011.5872451
DO - 10.1109/ISBI.2011.5872451
M3 - Conference contribution
AN - SCOPUS:80055061269
SN - 9781424441280
SP - 488
EP - 491
BT - Proceedings - International Symposium on Biomedical Imaging
ER -