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Birefringence imaging for optical sensing of tissue damage

Chin, L., Yang, X., McLaughlin, R.A., Noble, P.B. and Sampson, David (2013) Birefringence imaging for optical sensing of tissue damage

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We present an automated technique to detect and quantify damage to biological tissue by sensing changes in the tissue's optical birefringence. Birefringence is a property of many types of tissue, which decreases with damage. Using a polarisation-sensitive optical coherence tomography scanner, the method first acquires a 3D scan of the area of tissue under analysis. By calculating the birefringence at each location on the surface of the tissue, we build a 2D image indicative of the biological microstructure, with areas of abnormally low birefringence indicating tissue damage. The technique is demonstrated using a model of localised thermal damage on porcine tendon. The resulting birefringence images are validated against a histological gold standard, showing strong correspondence between areas of low and high birefringence, and areas of damaged and undamaged tissue respectively.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions : Faculty of Engineering and Physical Sciences
Faculty of Health and Medical Sciences
Authors :
Chin, L.
Yang, X.
McLaughlin, R.A.
Noble, P.B.
Date : 2013
DOI : 10.1109/ISSNIP.2013.6529762
Uncontrolled Keywords : Automated techniques, Biological tissues, Birefringence imaging, High birefringence, Low birefringence, Optical birefringence, Optical sensing, Thermal damage, Birefringence, Data processing, Intelligent control, Optical tomography, Sensor networks, Smart sensors, Two dimensional, Tissue
Depositing User : Maria Rodriguez-Marquez
Date Deposited : 05 Jun 2018 09:31
Last Modified : 19 Sep 2018 11:32

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