Open Access
3 November 2018 Extracting morphometric information from rat sciatic nerve using optical coherence tomography
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Abstract
We apply three optical coherence tomography (OCT) image analysis techniques to extract morphometric information from OCT images obtained on peripheral nerves of rat. The accuracy of each technique is evaluated against histological measurements accurate to +  /    −  1  μm. The three OCT techniques are: (1) average depth-resolved profile (ADRP), (2) autoregressive spectral estimation (AR-SE), and (3) correlation of the derivative spectral estimation (CoD-SE). We introduce a scanning window to the ADRP technique, which provides transverse resolution and improves epineurium thickness estimates—with the number of analyzed images showing agreement with histology increasing from 2  /  10 to 5  /  10 (Kruskal–Wallis test, α  =  0.05). A method of estimating epineurium thickness, using the AR-SE technique, showed agreement with histology in 6  /  10 analyzed images (Kruskal–Wallis test, α  =  0.05). Using a tissue sample in which histology identified two fascicles with an estimated difference in mean fiber diameter of 4  μm, the AR-SE and CoD-SE techniques both correctly identified the fascicle with larger fiber diameter distribution but incorrectly estimated the magnitude of this difference as 0.5  μm. The ability of the OCT signal analysis techniques to extract accurate morphometric details from peripheral nerves is promising but restricted in depth by scattering in adipose and neural tissues.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
James Hope, Bastian Braeuer, Satya Amirapu, Andrew McDaid, and Frédérique Vanholsbeeck "Extracting morphometric information from rat sciatic nerve using optical coherence tomography," Journal of Biomedical Optics 23(11), 116001 (3 November 2018). https://doi.org/10.1117/1.JBO.23.11.116001
Received: 1 May 2018; Accepted: 15 October 2018; Published: 3 November 2018
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CITATIONS
Cited by 12 scholarly publications.
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KEYWORDS
Tissues

Nerve

Optical coherence tomography

Statistical analysis

Tissue optics

Microscopy

Remote sensing

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