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15 March 2023 Automated peripheral nerve tissue classification based on PS-OCT derived multimodal volumes (Conference Presentation)
Ilyas Saytashev, Shivam Amin, Yong-Chul Yoon, Stephanie Nam, Benjamin J. Vakoc, Daniel X. Hammer
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Proceedings Volume PC12382, Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2023; PC123820K (2023) https://doi.org/10.1117/12.2653143
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
Peripheral nerve fascicle tracing and longitudinal analysis of the damaging effects of electrical overstimulation using novel polarization sensitive optical coherence tomography (PS-OCT) based biomarkers currently require manual image segmentation to determine the boundaries of the nerve tissue within the acquired OCT volume. We developed an algorithm for automated peripheral nerve tissue classification based on image segmentation of the multimodal swept-source PS-OCT volumes. We compare the performance of density-based and neural network-based classifiers, and demonstrate results on fixed nerve tissues as well as on in vivo acquired data from a rat sciatic nerve and mini-pig vagus nerve.
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Ilyas Saytashev, Shivam Amin, Yong-Chul Yoon, Stephanie Nam, Benjamin J. Vakoc, and Daniel X. Hammer "Automated peripheral nerve tissue classification based on PS-OCT derived multimodal volumes (Conference Presentation)", Proc. SPIE PC12382, Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2023, PC123820K (15 March 2023); https://doi.org/10.1117/12.2653143
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KEYWORDS
Nerve
Tissues
Optical coherence tomography
Safety
Axons
Electrodes
Image classification
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