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Proceedings Paper

Analysis of spatial variability in hyperspectral imagery of the uterine cervix in vivo
Author(s): Michael James DeWeert; Jody Oyama; Elisabeth McLaughlin; Ellen Jacobson; Johan Hakansson; Gary S. Bignami; Ulf P. Gustafsson; Paul Troy; Violeta Poskiene; Kristina Kriukelyte; Reda Ziobakiene; Aurelija Vaitkuviene; Sara Palsson; Marcelo Soto Thompson; Unne Stenram; Stefan Andersson-Engels; Sune Svanberg; Katarina Svanberg
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Paper Abstract

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.

Paper Details

Date Published: 2 July 2003
PDF: 10 pages
Proc. SPIE 4959, Spectral Imaging: Instrumentation, Applications, and Analysis II, (2 July 2003); doi: 10.1117/12.479509
Show Author Affiliations
Michael James DeWeert, Science and Technology International (United States)
Jody Oyama, Science and Technology International (United States)
Elisabeth McLaughlin, Science and Technology International (United States)
Ellen Jacobson, Science and Technology International (United States)
Johan Hakansson, Science and Technology International (United States)
Gary S. Bignami, Science and Technology International (United States)
Ulf P. Gustafsson, Science and Technology International (United States)
Paul Troy, Science and Technology International (United States)
Violeta Poskiene, Vilnius Univ. Hospital (Lithuania)
Kristina Kriukelyte, Vilnius Univ. Hospital (Lithuania)
Reda Ziobakiene, Vilnius Univ. Hospital (Lithuania)
Aurelija Vaitkuviene, Vilnius Univ. Hospital (Lithuania)
Sara Palsson, Lund Institute of Technology (Sweden)
Lund Univ. Medical Laser Ctr. (Sweden)
Marcelo Soto Thompson, Lund Institute of Technology (Sweden)
Lund Univ. Medical Laser Ctr. (Sweden)
Unne Stenram, Lund Univ. Hospital (Sweden)
Lund Univ. Medical Laser Ctr. (Sweden)
Stefan Andersson-Engels, Lund Institute of Technology (Sweden)
Lund Univ. Medical Laser Ctr. (Sweden)
Sune Svanberg, Lund Institute of Technology (Sweden)
Lund Univ. Medical Laser Ctr. (Sweden)
Katarina Svanberg, Lund Univ. Hospital (Sweden)
Lund Univ. Medical Laser Ctr. (Sweden)


Published in SPIE Proceedings Vol. 4959:
Spectral Imaging: Instrumentation, Applications, and Analysis II
Richard M. Levenson; Gregory H. Bearman; Anita Mahadevan-Jansen, Editor(s)

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