Paper
11 July 2007 Maximum likelihood estimation of depth reflectance in time-domain optical coherence tomography
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sherif Sherif, Costel Flueraru, Youxin Mao, and Shoude Chang "Maximum likelihood estimation of depth reflectance in time-domain optical coherence tomography", Proc. SPIE 6627, Optical Coherence Tomography and Coherence Techniques III, 66270S (11 July 2007); https://doi.org/10.1117/12.728024
Lens.org Logo
CITATIONS
Cited by 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Optical coherence tomography

Reflectivity

Sensors

Process modeling

Image restoration

Biomedical optics

Coherence (optics)

Back to Top