A statistical method for inverting the Born ratio

Author

Hyde, Damon ; Miller, Eric ; Brooks, Dana ; Ntziachristos, Vasilis

Author_Institution

Electr. & Comput. Eng., Northeastern Univ., Boston, MA

fYear

2006

fDate

6-9 April 2006

Firstpage

598

Lastpage

601

Abstract

We examine a statistical solution to the problem of fluorescence molecular tomography (FMT) using the Born ratio. Experimentally verified noise models for the fluorescence and excitation signals are combined to generate a stochastic model for the Born ratio. This model is then utilized within a maximum likelihood (ML) framework to obtain a fixed point iteration about a linear least squares problem. Results for experimental data are shown, including phantoms implanted within a small animal, and in-vivo data using an exogenous probe

Keywords

biomedical optical imaging; fluorescence; iterative methods; least squares approximations; maximum likelihood estimation; medical image processing; optical tomography; phantoms; stochastic processes; Born ratio; excitation signals; fixed point iteration; fluorescence molecular tomography; linear least squares problem; maximum likelihood framework; noise models; phantoms; statistical method; stochastic model; Animals; Fluorescence; Imaging phantoms; Least squares methods; Noise generators; Signal generators; Signal to noise ratio; Statistical analysis; Stochastic resonance; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

0-7803-9576-X

Type

conf

DOI

10.1109/ISBI.2006.1624987

Filename

1624987