Reconstruction and Spectral Analysis for Optical Coherence Tomography

版本 1.0.0.0 (4.7 MB) 作者: Orly Liba
A code for reconstruction and spectral analysis of spectral domain OCT images.
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更新时间 2017/4/20
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MATLAB code for reconstruction and spectral analysis of spectral domain OCT images. This code can be used as part of a platform for molecular imaging with OCT, which we call MOZART.
This code was created to read raw interferograms from Thorlabs OCTs (SW version 4 works best, but version 3 is also supported with a few changes). It reconstructs the raw interferograms into OCT images, and supports both 2D, 3D and speckle variance. In addition to reconstructing the images this code:
Calculates the normalized spcekle variance (useful for detecting blood vessels)
Calculates dispersion compensation
Calculates a map of spectral contras, based on dual-band spectral analysis
Calculates spectral-depth compensation
Creates images that combine the OCT image, spectral analysis and speckle variance.
and more features...
This code was used to create images and analysis for: "Contrast-enhanced optical coherence tomography with picomolar sensitivity for functional in vivo imaging" O Liba, ED SoRelle, D Sen, A de La Zerda - Scientific reports, 2016.
Please cite our paper if you use our code.

引用格式

Orly Liba (2024). Reconstruction and Spectral Analysis for Optical Coherence Tomography (https://github.com/orlyliba/OCT_Reconstruction_and_Spectral_Analysis), GitHub. 检索来源 .

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