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

deWeert, Michael J.; Oyama, Jody; McLaughlin, Elisabeth; Jacobson, Ellen; Håkansson, Johan; Bignami, Gary S.; Gustafsson, Ulf; Troy, Paul; Poskiene, Violeta and Kriukelyte, Kristina, et al. (2003) In Proceedings of SPIE 4959. p.67-76
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... (More)
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. (Less)
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organization
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type
Contribution to journal
publication status
published
subject
keywords
Cervical, Cancer, CIN, Fractal, Tissue Classification, Fluorescence, Spectroscopy, HSDI, Medical Imaging, Histopathology
in
Proceedings of SPIE
volume
4959
pages
67 - 76
publisher
SPIE
external identifiers
  • Scopus:0344420050
DOI
10.1117/12.479509
language
English
LU publication?
yes
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ff5ff844-cc95-4ff6-bbed-a78e6116990c (old id 1126733)
date added to LUP
2008-06-11 09:25:21
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2016-10-13 04:49:30
@misc{ff5ff844-cc95-4ff6-bbed-a78e6116990c,
  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.},
  author       = {deWeert, Michael J. and Oyama, Jody and McLaughlin, Elisabeth and Jacobson, Ellen and Håkansson, Johan and Bignami, Gary S. and Gustafsson, Ulf and Troy, Paul and Poskiene, Violeta and Kriukelyte, Kristina and Ziobakieni R,, Reda and Vaitkuvieni A,, Aurelija and Pålsson, Sara and Soto Thompson, Marcelo and Stenram, Unne and Andersson-Engels, Stefan and Svanberg, Sune and Svanberg, Katarina},
  keyword      = {Cervical,Cancer,CIN,Fractal,Tissue Classification,Fluorescence,Spectroscopy,HSDI,Medical Imaging,Histopathology},
  language     = {eng},
  pages        = {67--76},
  publisher    = {ARRAY(0x8416360)},
  series       = {Proceedings of SPIE},
  title        = {Analysis of spatial variability in hyperspectral imagery of the uterine cervix in vivo},
  url          = {http://dx.doi.org/10.1117/12.479509},
  volume       = {4959},
  year         = {2003},
}