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Proceedings Paper

Maximum likelihood estimation of depth reflectance in time-domain optical coherence tomography
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Paper Abstract

We use a random process model for the photocurrent in time-domain optical coherence tomography (TD-OCT) to obtain a maximum likelihood estimate of the reflectance at different depths of an object. This statistical image restoration approach is generally more effective than the previously reported deterministic methods, as it accounts for the statistics of the noise. We also present an expression for the Fisher information matrix in TD-OCT, which could be used to optimize TD-OCT setups. We present theoretical results which we apply to a simulated TD-OCT imaging example.

Paper Details

Date Published: 11 July 2007
PDF: 6 pages
Proc. SPIE 6627, Optical Coherence Tomography and Coherence Techniques III, 66270S (11 July 2007); doi: 10.1117/12.728024
Show Author Affiliations
Sherif Sherif, National Research Council Canada (Canada)
Costel Flueraru, National Research Council Canada (Canada)
Youxin Mao, National Research Council Canada (Canada)
Shoude Chang, National Research Council Canada (Canada)

Published in SPIE Proceedings Vol. 6627:
Optical Coherence Tomography and Coherence Techniques III
Peter E. Andersen; Zhongping Chen, Editor(s)

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