6 research outputs found
Visualization 2: Rotational distortion correction in endoscopic optical coherence tomography based on speckle decorrelation
Cross-sectional view of NURD correction Originally published in Optics Letters on 01 December 2015 (ol-40-23-5518
Robust Wavenumber and Dispersion Calibration for Fourier-Domain Optical Coherence Tomography
This is a MATLAB implementation of the technique described in "Robust Wavenumber and Dispersion Calibration for Fourier-Domain Optical Coherence Tomography" by Uribe-Patarroyo et al. Core functions, exemplary usage and calibration data are supplied
Despeckled Eye Scan Cross-Sections Comparison After TNode
Here, we present a comparison of the cross-sections obtained after despeckling with the novel Tomographic Non-local denoising (TNode) presented in "Volumetric non-local-means based speckle reduction for optical coherence tomography" by Cuartas-VĂ©lez et al
Despeckled Gastrointestinal Cross-Section Comparison After TNode
Here, we present a comparison of the cross-sections obtained after despeckling a GIOCT scan with the novel Tomographic Non-local denoising (TNode) presented in "Volumetric non-local-means based speckle reduction for optical coherence tomography" by Cuartas-VĂ©lez et al
Volumetric non-local-means based speckle reduction for optical coherence tomography
This is a MATLAB implementation of the Toographic Non-local despeckling (TNode) technique described in "Volumetric non-local-means based speckle reduction for optical coherence tomography" by Cuartas-VĂ©lez et al. Core functions, exemplary usage and data are supplied
Single and Multiple Speckle Realization Comparison After Despeckling with TNode
Here, we present a comparison of the en-face views obtained after despeckling with the novel Tomographic Non-local denoising (TNode) presented in "Volumetric non-local-means based speckle reduction for optical coherence tomography" by Cuartas-VĂ©lez et al. The dataset presents the improvement obtained in the tomogram as the number of speckle realization increases