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Analysis of spatial variability in hyperspectral imagery of the uterine cervix in vivo

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Author

  • Michael J. deWeert
  • Jody Oyama
  • Elisabeth McLaughlin
  • Ellen Jacobson
  • Johan Håkansson
  • Gary S. Bignami
  • Ulf Gustafsson
  • Paul Troy
  • Violeta Poskiene
  • Kristina Kriukelyte
  • Reda Ziobakieni R,
  • Aurelija Vaitkuvieni A,
  • Sara Pålsson
  • Marcelo Soto Thompson
  • Unne Stenram
  • Stefan Andersson-Engels
  • Sune Svanberg
  • Katarina Svanberg
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Summary, in English

The use of fluorescence and reflectance spectroscopy in the analysis of cervical histopathology is a growing field of research. The majority of this research is performed with point-like probes. Typically, clinicians select probe sites visually, collecting a handful of spectral samples. An exception to this methodology is the Hyperspectral Diagnostic Imaging (HSDI®) instrument developed by Science and Technology International. This non-invasive device collects contiguous hyperspectral images across the entire cervical portio. The high spatial and spectral resolution of the HSDI instruments make them uniquely well suited for addressing the issues of coupled spatial and spectral variability of tissues in vivo. Analysis of HSDI data indicates that tissue spectra vary from point to point, even within histopathologically homogeneous regions. This spectral variability exhibits both random and patterned components, implying that point monitoring may be susceptible to significant sources of noise and clutter inherent in the tissue. We have analyzed HSDI images from clinical CIN (cervical intraepithelial neoplasia) patients to quantify the spatial variability of fluorescence and reflectance spectra. This analysis shows the spatial structure of images to be fractal in nature, in both intensity and spectrum. These fractal tissue textures will limit the performance of any point-monitoring technology.

Publishing year

2003

Language

English

Pages

67-76

Publication/Series

Proceedings of SPIE

Volume

4959

Document type

Journal article

Publisher

SPIE

Topic

  • Cancer and Oncology

Keywords

  • Cervical
  • Cancer
  • CIN
  • Fractal
  • Tissue Classification
  • Fluorescence
  • Spectroscopy
  • HSDI
  • Medical Imaging
  • Histopathology

Status

Published