Title :
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
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;
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-9576-X
DOI :
10.1109/ISBI.2006.1624987
