Task-based optimization and performance assessment in optical coherence imaging

    Authors

    J. Rolland; J. O'Daniel; C. Akcay; T. DeLemos; K. S. Lee; K. I. Cheong; E. Clarkson; R. Chakrabarti;R. Ferris

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    J. Opt. Soc. Am. A-Opt. Image Sci. Vis.

    Keywords

    TOMOGRAPHY; COMPUTATION; RESOLUTION; Optics

    Abstract

    Optimization of an optical coherence imaging (OCI) system on the basis of task performance is a challenging undertaking. We present a mathematical framework based on task performance that uses statistical decision theory for the optimization and assessment of such a system. Specifically, we apply the framework to a relatively simple OCI system combined with a specimen model for a detection task and a resolution task. We consider three theoretical Gaussian sources of coherence lengths of 2, 20, and 40 mu m. For each of these coherence lengths we establish a benchmark performance that specifies the smallest change in index of refraction that can be detected by the system. We also quantify the dependence of the resolution performance on the specimen model being imaged. (c) 2005 Optical Society of America.

    Journal Title

    Journal of the Optical Society of America a-Optics Image Science and Vision

    Volume

    22

    Issue/Number

    6

    Publication Date

    1-1-2005

    Document Type

    Article

    Language

    English

    First Page

    1132

    Last Page

    1142

    WOS Identifier

    WOS:000229301800014

    ISSN

    1084-7529

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