Statistical approach for detection and localization of a fluorescing mouse tumor in intralipid

Adam B. Milstein, Michael D. Kennedy, Philip Low, Charles A. Bouman, Kevin J. Webb

Research output: Contribution to journalArticlepeer-review

38 Scopus citations


We present a method for detecting and localizing a fluorescing tumor obscured underneath several millimeters of a multiply scattering, homogeneous medium from fluorescence measurements made above the surface. Using a statistical model of the measurement system, we develop approaches for detection by use of a binary hypothesis testing approach and localization by use of maximum-likelihood estimation. We also compute the probability of tumor detection and the Cramér-Rao lower bound for the localization estimate error, which are performance metrics that could potentially be optimized in an experimental design. We validate the methods in an experimental study involving an excised mouse tumor tagged with a new folate-indocyanine dye and obscured under a tissue-simulating lipid suspension.

Original languageEnglish (US)
Pages (from-to)2300-2310
Number of pages11
JournalApplied Optics
Issue number12
StatePublished - Apr 20 2005

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering


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