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Semi-Automatic Tool for Vitiligo Detection and Analysis.

Paolo Neri1, Michela Fiaschi2, Giovanni Menchini2

  • 1Department of Civil and Industrial Engineering, University of Pisa, 56122 Pisa, Italy.

Journal of Imaging
|August 30, 2021
PubMed
Summary

A new semi-automatic tool uses black light imaging to detect vitiligo vulgaris patches on the face. This method aids in objective data collection for vitiligo research.

Keywords:
black lightimage processingsemi-automatic vitiligo detectionvitiligo

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Area of Science:

  • Dermatology
  • Medical Image Analysis
  • Computer Vision

Background:

  • Vitiligo vulgaris is an autoimmune condition causing melanin cell reduction, leading to depigmented skin patches.
  • Accurate detection of vitiligo patches is essential for epidemiological studies and understanding disease progression.
  • Current detection methods are limited, necessitating novel approaches for objective and efficient assessment.

Purpose of the Study:

  • To develop and evaluate a semi-automatic image processing tool for detecting facial vitiligo patches.
  • To enable objective, fast, and statistically relevant data collection on vitiligo prevalence and distribution.
  • To provide a user-friendly tool requiring minimal image-processing expertise.

Main Methods:

  • Utilized black light illumination to enhance contrast between vitiligo patches and healthy skin.
  • Developed a semi-automatic tool requiring user input for regions of interest and a global threshold.
  • Implemented an adaptive algorithm for automated discrimination of vitiligo and healthy skin pixels.
  • Created an occurrence map by overlapping detected patches on a face template for statistical analysis.

Main Results:

  • The tool demonstrated effective detection of facial vitiligo patches in a preliminary study of 15 patients.
  • Dermatologist validation confirmed the accuracy of the automated patch detection for all participants.
  • The system facilitates statistical interpretation of patch distribution through an occurrence map.

Conclusions:

  • The proposed semi-automatic tool is effective for detecting facial vitiligo.
  • This image-processing approach offers a promising solution for objective and efficient vitiligo assessment.
  • The tool has the potential to significantly contribute to vitiligo research and patient data collection.