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Proceedings Paper

Speckle reduction method for optical coherence tomography using interval type II fuzzy set
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Paper Abstract

This paper introduces a speckle reduction technique for Optical Coherence Tomography (OCT) images based on soft thresholding the wavelet coefficients using interval type II fuzzy system. The proposed method is an extension of a recently published method for additive noise using type I fuzzy system. It has been shown that the new method outperforms the traditional Wiener and modified Lee algorithms in terms of image metrics. Unlike the type I, interval type II fuzzy based thresholding filter considers the uncertainty in the calculated threshold and the wavelet coefficient is adjusted based on this uncertainty. Application of this novel algorithm to an optical coherence tomography image acquired in-vivo from a human finger tip shows reduction in speckle noise with little edge blurring and image SNR improvement of ~10dB.

Paper Details

Date Published: 18 February 2008
PDF: 8 pages
Proc. SPIE 6847, Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine XII, 68472B (18 February 2008); doi: 10.1117/12.765943
Show Author Affiliations
Prabakar Puvanathasan, Univ. of Waterloo (Canada)
Kostadinka Bizheva, Univ. of Waterloo (Canada)

Published in SPIE Proceedings Vol. 6847:
Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine XII
Joseph A. Izatt; James G. Fujimoto; Valery V. Tuchin, Editor(s)

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