Robust, accurate depth-resolved attenuation characterization in optical coherence tomography.
Kaiyan LiWenxuan LiangZihan YangYanmei LiangSuiren WanPublished in: Biomedical optics express (2020)
Depth-resolved optical attenuation coefficient is a valuable tissue parameter that complements the intensity-based structural information in optical coherent tomography (OCT) imaging. Herein we systematically analyzed the under- and over-estimation bias of existing depth-resolved methods when applied to real biological tissues, and then proposed a new algorithm that remedies these issues and accommodates general OCT data that contain incomplete decay and noise floor, thereby affording consistent estimation accuracy for practical biological samples of different scattering properties. Compared with other algorithms, our method demonstrates remarkably improved estimation accuracy and numerical robustness, as validated via numerical simulations and on experimental OCT data obtained from both silicone-TiO2 phantoms and human ventral tongue leukoplakia samples.
Keyphrases
- optical coherence tomography
- high resolution
- diabetic retinopathy
- machine learning
- electronic health record
- optic nerve
- big data
- endothelial cells
- deep learning
- high speed
- gene expression
- spinal cord
- air pollution
- computed tomography
- mass spectrometry
- artificial intelligence
- monte carlo
- healthcare
- pluripotent stem cells
- magnetic resonance imaging
- prefrontal cortex
- social media
- fluorescence imaging