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Bispectral fluorescence imaging combined with texture analysis and linear discrimination for correlation with histopathologic extent of basal cell carcinoma

Ericson, Marica B, 1974 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för fysik (GU),Department of Physics (GU),University of Gothenburg,Chalmers tekniska högskola,Chalmers University of Technology
Stenquist, Bo, 1937 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för särskilda specialiteter, Avdelningen för dermatologi och venereologi,Institute of Selected Clinical Sciences, Department of Dermatology and Venereology,University of Gothenburg
Rosén, Arne, 1939 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för fysik (GU),Department of Physics (GU),University of Gothenburg
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Larkö, Olle, 1952 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för särskilda specialiteter, Avdelningen för dermatologi och venereologi,Institute of Selected Clinical Sciences, Department of Dermatology and Venereology,University of Gothenburg
Uhre, J. (författare)
Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
Strandeberg, C. (författare)
Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital
Wennberg, Ann-Marie, 1956 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för särskilda specialiteter, Avdelningen för dermatologi och venereologi,Institute of Selected Clinical Sciences, Department of Dermatology and Venereology
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 (creator_code:org_t)
SPIE-Intl Soc Optical Eng, 2005
2005
Engelska.
Ingår i: Journal of Biomedical Optics. - : SPIE-Intl Soc Optical Eng. - 1083-3668 .- 1560-2281. ; 10:3
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Fluorescence imaging has been shown to be a potential complement to visual inspection for demarcation of basal cell carcinoma (BCC), which is the most common type of skin cancer. Earlier studies have shown promising results when combining autofluorescence with protoporphyrin IX (Pp IX) fluorescence, induced by application of delta-5-aminolaevulinic acid (ALA). In this work, we have tried to further improve the ability of this technique to discriminate between areas of tumor and normal skin by implementing texture analysis and Fisher linear discrimination (FLD) on bispectral fluorescence data of BCCs located on the face. Classification maps of the lesions have been obtained from histopathologic mapping of the excised tumors. The contrast feature obtained from co-occurrence matrices was found to provide useful information, particularly for the ALA-induced Pp IX fluorescence data. Moreover, the neighborhood average features of both autofluorescence and Pp IX fluorescence were preferentially included in the analysis. The algorithm was trained by using a training set of images with good agreement with histopathology, which improved the discriminability of the validation set. In addition, cross validation of the training set showed good discriminability. Our results imply that FLD and texture analysis are preferential for correlation between bispectral fluorescence images and the histopathologic extension of the tumors.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Dermatologi och venereologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Dermatology and Venereal Diseases (hsv//eng)

Nyckelord

Adult
Aged
Aged
80 and over
*Algorithms
*Artificial Intelligence
Carcinoma
Basal Cell/classification/*pathology
Computer Simulation
Data Interpretation
Statistical
Discriminant Analysis
Female
Humans
Image Interpretation
Computer-Assisted/*methods
Linear Models
Male
Microscopy
Fluorescence/*methods
Middle Aged
Models
Biological
Neoplasm Invasiveness
Neoplasm Staging/methods
Reproducibility of Results
Sensitivity and Specificity
Severity of Illness Index
Skin Neoplasms/classification/*pathology
Spectrometry
Fluorescence/methods
Statistics
Adult

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