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Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography
Published on: February 9, 2019
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Bayesian analysis of depth resolved OCT attenuation coefficients
Lionel D Fiske1,2,3, Maurice C G Aalders4, Mitra Almasian3
1Engineering Science and Applied Mathematics, Northwestern University, Chicago, IL, USA.
Scientific Reports
|January 27, 2021
Summary
This study addresses speckle noise in optical coherence tomography (OCT) attenuation analysis. A Bayesian method improves voxelwise attenuation coefficient estimation, enhancing tissue imaging reliability.
Area of Science:
- Biomedical Optics
- Medical Imaging
- Optical Engineering
Background:
- Optical coherence tomography (OCT) enables volumetric imaging of translucent materials.
- Depth-resolved signal attenuation analysis provides insights into tissue microstructure.
- Speckle noise in OCT corrupts voxelwise attenuation coefficient estimation, reducing reliability.
Purpose of the Study:
- To investigate the impact of speckle on OCT-based attenuation analysis.
- To develop a statistically robust method for estimating the depth-resolved attenuation coefficient in OCT data.
- To improve the accuracy and reliability of voxelwise attenuation imaging.
Main Methods:
- Characterized the distribution of estimated attenuation coefficients from OCT data with speckle.
- Derived a prior distribution for the attenuation coefficient using statistical mechanics.
- Developed a Bayesian voxelwise estimator for the true attenuation coefficient using posterior probability distributions.
Main Results:
- The estimated depth-resolved attenuation coefficient in OCT data with speckle follows an exponential distribution.
- A novel Bayesian approach was formulated to mitigate speckle-induced errors.
- Simulations and experimental validation confirmed the effectiveness of the proposed Bayesian estimator.
Conclusions:
- Speckle significantly impacts voxelwise attenuation analysis in OCT.
- The developed Bayesian method provides a more reliable estimation of the depth-resolved attenuation coefficient.
- This technique enhances the accuracy of OCT-based microstructural tissue analysis.
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