Share Email Print
cover

Proceedings Paper

AUC-based resolution in optical coherence tomography
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Optical coherence tomography (OCT) is an interferometric technique using the low coherence property of light to axially image at high resolution in biological tissue samples. Transverse imaging is obtained with two-dimensional scanning and transverse resolution is limited by the size of the scanning beam at the imaging point. The most common metrics used for determining the axial resolution of an OCT system are the full-width-at-half-maximum (FWHM), the absolute square integral (ASI), and the root-mean-square (RMS) width of the axial PSF of the system, where the PSF of an OCT system is defined as the envelope of the interference fringes when the sample has been replaced by a simple mirror. Such metrics do not take into account the types of biological tissue samples being imaged. In this paper we define resolution in terms of the instrument and the biological sample combined by defining a resolution task and computing the associated detectability index and area under the receiver operating characteristic curve (AUC). The detectability index was computed using the Hotelling observer or best linear observer. Results of simulations demonstrate that resolution is best quantified as a probability of resolving two layers, and the impact on resolution of variations in the index of refraction between the layers is clearly demonstrated.

Paper Details

Date Published: 4 May 2004
PDF: 10 pages
Proc. SPIE 5372, Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment, (4 May 2004); doi: 10.1117/12.535935
Show Author Affiliations
Jannick P. Rolland, CREOL/Univ. of Central Florida (United States)
Jason O'Daniel, CREOL/Univ. of Central Florida (United States)
Eric Clarkson, Optical Science Ctr./Univ. of Arizona (United States)
Kit-Iu Cheong, Optical Science Ctr./Univ. of Arizona (United States)
A. C. Akcay, CREOL/Univ. of Central Florida (United States)
Tony Delemos, CREOL/Univ. of Central Florida (United States)
Pascale Parrein, CREOL/Univ. of Central Florida (United States)
Kye Sung Lee, CREOL/Univ. of Central Florida (United States)


Published in SPIE Proceedings Vol. 5372:
Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment
Dev P. Chakraborty; Miguel P. Eckstein, Editor(s)

© SPIE. Terms of Use
Back to Top