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

doi:10.1364/AO.44.002300

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

Houston Methodist

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	2300-2310
Number of pages	11
Journal	Applied Optics
Volume	44
Issue number	12
DOIs	https://doi.org/10.1364/AO.44.002300
State	Published - Apr 20 2005

ASJC Scopus subject areas

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

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abstract = "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 Cram{\'e}r-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.",

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AU - Webb, Kevin J.

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AB - 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.

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

Abstract

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