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 proceedingConference 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 languageEnglish (US)
Title of host publicationProceedings - International Symposium on Biomedical Imaging
Pages488-491
Number of pages4
DOIs
StatePublished - 2011
Event2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States
Duration: Mar 30 2011Apr 2 2011

Other

Other2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
CountryUnited States
CityChicago, IL
Period3/30/114/2/11

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