A statistical method for inverting the born ratio

Damon Hyde, Eric Miller, Dana Brooks, Vasilis Ntziachristos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publication2006 3rd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages598-601
Number of pages4
StatePublished - 2006
Externally publishedYes
Event2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States
Duration: 6 Apr 20069 Apr 2006

Publication series

Name2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Volume2006

Conference

Conference2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Country/TerritoryUnited States
CityArlington, VA
Period6/04/069/04/06

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