Model-based sensor-less wavefront aberration correction in optical coherence tomography

Several sensor-less wavefront aberration correction methods that correct nonlinear wavefront aberrations by maximizing the optical coherence tomography (OCT) signal are tested on an OCT setup. A conventional coordinate search method is compared to two model-based optimization methods. The first mode...

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Bibliographic Details
Published inOptics letters Vol. 40; no. 24; p. 5722
Main Authors Verstraete, Hans R G W, Wahls, Sander, Kalkman, Jeroen, Verhaegen, Michel
Format Journal Article
LanguageEnglish
Published United States 15.12.2015
Subjects
Algorithms
Image Enhancement - methods
Models, Theoretical
Optical Phenomena
Signal-To-Noise Ratio
Tomography, Optical Coherence - methods
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Summary:Several sensor-less wavefront aberration correction methods that correct nonlinear wavefront aberrations by maximizing the optical coherence tomography (OCT) signal are tested on an OCT setup. A conventional coordinate search method is compared to two model-based optimization methods. The first model-based method takes advantage of the well-known optimization algorithm (NEWUOA) and utilizes a quadratic model. The second model-based method (DONE) is new and utilizes a random multidimensional Fourier-basis expansion. The model-based algorithms achieve lower wavefront errors with up to ten times fewer measurements. Furthermore, the newly proposed DONE method outperforms the NEWUOA method significantly. The DONE algorithm is tested on OCT images and shows a significantly improved image quality.
ISSN:1539-4794
DOI:10.1364/OL.40.005722