Shape-based reconstruction of skin lesion for multi-spectral nevoscope using genetic algorithm optimization

Song Wang, Atam Dhawan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Multi-spectral optical Nevoscope is aimed at diagnosing malignant melanoma non-invasively by extracting its two key signatures: spatial distributions of melanin and blood. In this paper, we proposed a shape-based multi-constrained reconstruction algorithm. First, the malignant melanoma is broken into melanin and blood parts which are delineated by two cubic tensor-product B-spline surfaces. Second, the parameters are coded into a genetic algorithm in an effort to recover them through global optimization. Third, some reasonable constraints are incorporated into the genetic algorithm to further stabilize the solution. The algorithm is verified by the Monte Carlo simulation and the results suggest that it is a much better approach than the conventional ones which typically are involved in reconstructing voxel by voxel optical properties.

Original languageEnglish (US)
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages488-491
Number of pages4
DOIs
StatePublished - Nov 27 2007
Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States
Duration: Apr 12 2007Apr 15 2007

Other

Other2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
CountryUnited States
CityArlington, VA
Period4/12/074/15/07

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Medicine(all)

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