Evaluation of multilayer tissues in optical coherence tomography by the extended Kalman filtering method

Igor Gurov; Maxim Volynsky; Alexey Zakharov

doi:10.1117/12.753425

1 August 2007 Evaluation of multilayer tissues in optical coherence tomography by the extended Kalman filtering method

Igor Gurov, Maxim Volynsky, Alexey Zakharov

Author Affiliations +

Proceedings Volume 6734, International Conference on Lasers, Applications, and Technologies 2007: Laser Technologies for Medicine; 67341P (2007) https://doi.org/10.1117/12.753425
Event: International Conference on Lasers, Applications, and Technologies '07, 2007, Minsk, Belarus

Abstract

Stochastic models of multilayer tissue and low-coherence interferometric signals are considered. The extended Kalman filtering method is investigated applied to dynamic evaluating layer borders of multilayer tissues in Optical Coherence Tomography (OCT). Increased resolution of layer borders is provided by direct transforming input fringe signal samples series to dynamic estimates of fringe amplitude and local envelope maximum positions. Results of experimental estimates of the method resolving power in the case of partially overlapped envelope peaks presented and discussed.

Citation Download Citation

Igor Gurov, Maxim Volynsky, and Alexey Zakharov "Evaluation of multilayer tissues in optical coherence tomography by the extended Kalman filtering method", Proc. SPIE 6734, International Conference on Lasers, Applications, and Technologies 2007: Laser Technologies for Medicine, 67341P (1 August 2007); https://doi.org/10.1117/12.753425

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE