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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Vol. 22, Iss. 6 — Jun. 1, 2005
  • pp: 1132–1142

Task-based optimization and performance assessment in optical coherence imaging

Jannick Rolland, Jason O’Daniel, Ceyhun Akcay, Tony DeLemos, Kye S. Lee, Kit-Iu Cheong, Eric Clarkson, Ratna Chakrabarti, and Robert Ferris  »View Author Affiliations

JOSA A, Vol. 22, Issue 6, pp. 1132-1142 (2005)

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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 μ 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.

© 2005 Optical Society of America

OCIS Codes
(000.5490) General : Probability theory, stochastic processes, and statistics
(030.6600) Coherence and statistical optics : Statistical optics
(170.4500) Medical optics and biotechnology : Optical coherence tomography

Original Manuscript: July 8, 2004
Revised Manuscript: October 12, 2004
Manuscript Accepted: December 1, 2004
Published: June 1, 2005

Jannick Rolland, Kit-Iu Cheong, Ratna Chakrabarti, Robert Ferris, Eric Clarkson, Jason O’Daniel, Ceyhun Akcay, Tony DeLemos, and Kye S. Lee, "Task-based optimization and performance assessment in optical coherence imaging," J. Opt. Soc. Am. A 22, 1132-1142 (2005)

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