The properties of the cornea based on hyperspectral imaging : optical biomedical engineering perspective

Noor, S.S.M. and Michael, K. and Marshall, S. and Ren, J. and Tschannerl, J. and Kao, F.J.; Minárik, Ivan and Rybárová, Renata and Trúchly, Peter and Rozinaj, Gregor, eds. (2016) The properties of the cornea based on hyperspectral imaging : optical biomedical engineering perspective. In: Proceedings: the 23rd International Conference on Systems, Signals and Image Processing. IEEE, SVK. ISBN 9781467395557 (https://doi.org/10.1109/IWSSIP.2016.7502710)

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Abstract

Biomedical engineering is a unique area that allows fusion between two distinct fields of engineering and medicine. The integration of efforts from both fields promises progress through acquisition of information from tissues, cells, and organs through non-invasive methods of assessment. Here we investigate the ability of a hyperspectral device in extracting data from tissues through the wavelength spectrum, in foreseeing its potential in clinical diagnostics by simplifying methods of examination by clinicians in detecting corneal injuries. Hyperspectral imaging using 400 to 1000nm visible wavelength was used to scan five porcine eyes (injured and non-injured). Images were saved in three dimensional images of rows, columns, and depth slices at 1200 to 1300x804x604 and were processed. All laboratory works were performed in accordance with the general risk assessment of University of Strathclyde. In our results, analysis of the images reveals significant cue between 500 to 800nm bands in differentiating between injured and noninjured parts of the eye.

ORCID iDs

Noor, S.S.M. ORCID: https://orcid.org/0000-0001-5288-7510

Marshall, S. ORCID: https://orcid.org/0000-0001-7079-5628

Ren, J. ORCID: https://orcid.org/0000-0001-6116-3194

Tschannerl, J. ORCID: https://orcid.org/0000-0002-4613-1693

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  Item type:	Book Section
  ID code:	60081
  Dates:	Date Event 4 July 2016 Published 25 March 2016 Accepted
  Notes:	© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering Technology and Innovation Centre > Sensors and Asset Management
  Depositing user:	Pure Administrator
  Date deposited:	07 Mar 2017 09:54
  Last modified:	11 Nov 2024 15:08
  Related URLs:	Event Journal or Publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/60081