Research output per year
Research output per year
Jos De Wit, Kostas Angelopoulos, Jeroen Kalkman*, George Othon Glentis
Research output: Contribution to journal › Article › Scientific › peer-review
Spectral-estimation OCT (SE-OCT) is a computational method to enhance the axial resolution beyond the traditional bandwidth limit. However, it has not yet been used widely due to its high computational load, dependency on user-optimized parameters, and inaccuracy in intensity reconstruction. In this study, we implement SE-OCT using a fast implementation of the iterative adaptive approach (IAA). This non-parametric spectral estimation method is optimized for use on OCT data. Both in simulations and experiments we show an axial resolution improvement with a factor between 2 and 10 compared to standard discrete Fourier transform. Contrary to parametric methods, IAA gives consistent peak intensity and speckle statistics. Using a recursive and fast reconstruction scheme the computation time is brought to the sub-second level for a 2D scan. Our work shows that SE-OCT can be used for volumetric OCT imaging in a reasonable computation time, thus paving the way for wide-scale implementation of superresolution OCT.
Original language | English |
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Pages (from-to) | 39946-39966 |
Journal | Optics Express |
Volume | 29 |
Issue number | 24 |
DOIs | |
Publication status | Published - 2021 |
Research output: Thesis › Dissertation (TU Delft)