Fractal charaterisation of boundary irregularity in skin pigmented lesions

A. Piantanelli, P. Maponi, A. Cialabrini, Lorenzo Scalise, A. Basso, S. Serresi

Research output: Contribution to journalArticlepeer-review

Abstract

A growing literature shows researcher's interest in fractal analysis, arising from its ability to describe and characterise quantitatively the complexity of several tumour profiles. The aim of the work was to investigate the fractal properties of skin pigmented lesion boundaries. Although melanoma is one of the most aggressive tumours, early detection and a high rate of diagnostic accuracy, followed by timely excision, can allow complete recovery in melanoma patients. A modified approach to fractal dimension estimation was performed that was able to consider, in a data fit procedure, the range in which lesions show fractal properties. Identification of this zone is the most important step towards a correct fractal analysis procedure. The method was checked against a known fractal dimension object (Koch's curve) with an error of 0.007. The fractal dimension was estimated in 110 skin pigmented lesions and showed a significantly increasing linear regression (p <0.05), from common naevi to naevi with dysplasia to melanomas. This result is important for screening, as it can inform the decision to excise precociously malignant lesions or to avoid unnecessary removal of benign ones. The limitations of the method are discussed.

Original languageEnglish
Pages (from-to)436-442
Number of pages7
JournalMedical and Biological Engineering and Computing
Volume43
Issue number4
DOIs
Publication statusPublished - Jul 2005

Keywords

  • Box counting method
  • Fractal analysis
  • Melanoma
  • Skin pigmented lesions

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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