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Lesion classification using skin patterning.

Andrew J. Round1, Andrew W. G. Duller, Peter J. Fish

  • 1School of Informatics, University of Wales, Bangor, UK.

Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)
|June 29, 2001
PubMed
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Disrupted skin line patterns in optical images can help differentiate malignant from non-malignant skin lesions. Analysis of these patterns provides a reliable method for lesion discrimination.

Area of Science:

  • Dermatology
  • Medical Imaging
  • Computational Pathology

Background:

  • Skin line patterning is altered by malignant lesions but not benign ones.
  • White light optical images contain features useful for differentiating skin lesions.
  • Exploring image analysis for detecting skin pattern disruption is warranted.

Purpose of the Study:

  • To explore the use of white light optical images for detecting skin pattern disruption.
  • To develop and validate methods for analyzing skin line patterning in lesions.
  • To assess the effectiveness of pattern disruption analysis in differentiating malignant from non-malignant skin lesions.

Main Methods:

  • Skin patterns extracted using high-pass filtering and a novel profiling technique.
  • Analysis of pattern disruption via region-based agglomerative clustering (mRAC) and local variance measurement.

Related Experiment Videos

  • Calculation of a disruption measure based on classification results and intensity-based segmentation.

    • Main Results:

    • A set of histologically confirmed lesions was analyzed.
    • Both analysis methods demonstrated lesion separation capabilities.
    • The mRAC technique showed the best performance, correlating well with visual estimates of disruption.

    Conclusions:

    • Acquisition and modeling of skin line patterning from clinical images were successful.
    • Analysis of pattern disruption is consistent with visual inspection.
    • This method effectively aids in discriminating between melanoma and benign nevi.