Detection of spectral differences between normal and cancerous oral tissue using nearinfrared spectroscopy

Kevin M. Cooney, Kirk W. Gossage, Michael J. McShane, Gerard L. Coté, Massoud Motamedi, Egbertus W.J. Van Der Breggen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A system was developed using a Fourier Transform spectrometer configured for the near-infrared (2.0-2.5 μm) range to investigate spectral differences between cancerous and normal oral tissue. Cancer was induced in the left or right cheek of hamsters. The animals were euthanized and cancerous as well as normal tissue was excised and analyzed in vitro. A total of 20 spectra were recorded 10 from cancerous tissue and 10 from normal tissue. Polynomial subtraction was used for preprocessing the raw spectral data. The preprocessed data were entered into a principal component analysis (PCA) algorithm which showed the ability to discriminate the tissue types across animals using this wavelength range.

Original languageEnglish (US)
Title of host publicationBiomedical Optical Spectroscopy and Diagnostics, BOSD 1998
PublisherOptica Publishing Group (formerly OSA)
Pages96-98
Number of pages3
ISBN (Electronic)1557525471
StatePublished - 1998
EventBiomedical Optical Spectroscopy and Diagnostics, BOSD 1998 - Orlando, United States
Duration: Mar 8 1998 → …

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Conference

ConferenceBiomedical Optical Spectroscopy and Diagnostics, BOSD 1998
Country/TerritoryUnited States
CityOrlando
Period3/8/98 → …

Keywords

  • PCA
  • Spectroscopy
  • cancer
  • near infrared
  • oral tissue

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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