ArticleBiomedical optics express2017
Noise-bias and polarization-artifact corrected optical coherence tomography by maximum
Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Optical coherence tomography image despeckling based on tensor singular value decomposition and fractional edge detection.Heliyon · 2023Article
- Deep convolutional neural network-based scatterer density and resolution estimators in optical coherence tomography.Biomedical optics express · 2022Article
- Pixel-wise segmentation of severely pathologic retinal pigment epithelium and choroidal stroma using multi-contrast Jones matrix optical coherence tomography.Biomedical optics express · 2018Article
- Machine-learning based segmentation of the optic nerve head using multi-contrast Jones matrix optical coherence tomography with semi-automatic training dataset generation.Biomedical optics express · 2018Article
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Authors and funding
5 authors.
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Abstract
We propose using maximum a-posteriori (MAP) estimation to improve the image signal-to-noise ratio (SNR) in polarization diversity (PD) optical coherence tomography. PD-detection removes polarization artifacts, which are common when imaging highly birefringent tissue or when using a flexible fiber catheter. However, dividing the probe power to two polarization detection channels inevitably reduces the SNR. Applying MAP estimation to PD-OCT allows for the removal of polarization artifacts while maintaining and improving image SNR. The effectiveness of the MAP-PD method is evaluated by comparing it with MAP-non-PD, intensity averaged PD, and intensity averaged non-PD methods. Evaluation was conducted
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