Statistical image reconstruction for hybrid fluorescence optical tomography and positron emission tomography

Guobao Wang; Changqing Li; Simon R Cherry; Jinyi Qi

doi:10.1109/ISBI.2011.5872451

Statistical image reconstruction for hybrid fluorescence optical tomography and positron emission tomography

Guobao Wang, Changqing Li, Simon R Cherry, Jinyi Qi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

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	https://doi.org/10.1109/ISBI.2011.5872451
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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Wang, G, Li, C, Cherry, SR & Qi, J 2011, Statistical image reconstruction for hybrid fluorescence optical tomography and positron emission tomography. in Proceedings - International Symposium on Biomedical Imaging., 5872451, pp. 488-491, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11, Chicago, IL, United States, 3/30/11. https://doi.org/10.1109/ISBI.2011.5872451

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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.",

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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.

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KW - Positron emission tomography

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