Share Email Print
cover

Proceedings Paper

In-vivo spinal nerve sensing in MISS using Raman spectroscopy
Author(s): Hao Chen; Weiliang Xu; Neil Broderick
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In modern Minimally Invasive Spine Surgery (MISS), lack of visualization and haptic feedback information are the main obstacles. The spinal cord is a part of the central nervous system (CNS). It is a continuation of the brain stem, carries motor and sensory messages between CNS and the rest of body, and mediates numerous spinal reflexes. Spinal cord and spinal nerves are of great importance but vulnerable, once injured it may result in severe consequences to patients, e.g. paralysis. Raman Spectroscopy has been proved to be an effective and powerful tool in biological and biomedical applications as it works in a rapid, non-invasive and label-free way. It can provide molecular vibrational features of tissue samples and reflect content and proportion of protein, nucleic acids lipids etc. Due to the distinct chemical compositions spinal nerves have, we proposed that spinal nerves can be identified from other types of tissues by using Raman spectroscopy. Ex vivo experiments were first done on samples taken from swine backbones. Comparative spectral data of swine spinal cord, spinal nerves and adjacent tissues (i.e. membrane layer of the spinal cord, muscle, bone and fatty tissue) are obtained by a Raman micro-spectroscopic system and the peak assignment is done. Then the average spectra of all categories of samples are averaged and normalized to the same scale to see the difference against each other. The results verified the feasibility of spinal cord and spinal nerves identification by using Raman spectroscopy. Besides, a fiber-optic Raman sensing system including a miniature Raman sensor for future study is also introduced. This Raman sensor can be embedded into surgical tools for MISS.

Paper Details

Date Published: 16 April 2016
PDF: 7 pages
Proc. SPIE 9802, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2016, 98021L (16 April 2016); doi: 10.1117/12.2218783
Show Author Affiliations
Hao Chen, The Univ. of Auckland (New Zealand)
The Dodd-Walls Ctr. for Photonic and Quantum Technologies (New Zealand)
Weiliang Xu, The Univ. of Auckland (New Zealand)
The Dodd-Walls Ctr. for Photonic and Quantum Technologies (New Zealand)
Neil Broderick, The Univ. of Auckland (New Zealand)
The Dodd-Walls Ctr. for Photonic and Quantum Technologies (New Zealand)


Published in SPIE Proceedings Vol. 9802:
Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2016
Vijay K. Varadan, Editor(s)

© SPIE. Terms of Use
Back to Top