Automatic estimation of noise parameters in Fourier-domain optical coherence tomography cross sectional images using statistical information

Steiner, Patrick; Kowal, Horst Jens; Povazay, Boris; Meier, Christoph; Sznitman, Raphael (2015). Automatic estimation of noise parameters in Fourier-domain optical coherence tomography cross sectional images using statistical information. Applied optics, 54(12), pp. 3650-3657. Optical Society of America 10.1364/AO.54.003650

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We present an application and sample independent method for the automatic discrimination of noise and signal in optical coherence tomography Bscans. The proposed algorithm models the observed noise probabilistically and allows for a dynamic determination of image noise parameters and the choice of appropriate image rendering parameters. This overcomes the observer variability and the need for a priori information about the content of sample images, both of which are challenging to estimate systematically with current systems. As such, our approach has the advantage of automatically determining crucial parameters for evaluating rendered image quality in a systematic and task independent way. We tested our algorithm on data from four different biological and nonbiological samples (index finger, lemon slices, sticky tape, and detector cards) acquired with three different experimental spectral domain optical coherence tomography (OCT) measurement systems including a swept source OCT. The results are compared to parameters determined manually by four experienced OCT users. Overall, our algorithm works reliably regardless of which system and sample are used and estimates noise parameters in all cases within the confidence interval of those found by observers.

Item Type:

Journal Article (Original Article)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Image Guided Therapy > ARTORG Center - Ophthalmic Technology Lab

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Steiner, Patrick; Kowal, Horst Jens and Sznitman, Raphael

Subjects:

500 Science
600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

ISSN:

0003-6935

Publisher:

Optical Society of America

Funders:

[4] Swiss National Science Foundation

Language:

English

Submitter:

Patrick Steiner

Date Deposited:

04 May 2015 16:29

Last Modified:

04 May 2015 16:29

Publisher DOI:

10.1364/AO.54.003650

BORIS DOI:

10.7892/boris.67923

URI:

https://boris.unibe.ch/id/eprint/67923

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