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Proceedings Paper

In vivo skin chromophore mapping using a multimode imaging dermoscope (SkinSpect™)
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Paper Abstract

We introduce a multimode dermoscope (SkinSpectTM) we developed for early detection of melanoma by combining fluorescence, polarization and hyperspectral imaging. Acquired reflection image datacubes were input to a wavelength-dependent linear model to extract the relative contributions of skin chromophores at every pixel. The oxy-hemoglobin, deoxy hemoglobin, melanin concentrations, and hemoglobin oxygen saturation by the single step linear least square fitting and Kubelka-Munk tissue model using cross polarization data cubes were presented. The comprehensive data obtained by SkinSpect can be utilized to improve the accuracy of skin chromophore decomposition algorithm with less computation cost. As an example in this work, the deoxy-hemoglobin over-estimation error in highly pigmented lesion due to melanin and deoxy hemoglobin spectral cross talk were analyzed and corrected using two-step linear least square fitting procedure at different wavelength ranges. The proposed method also tested in skin with underlying vein area for validating the proof of concept.

Paper Details

Date Published: 22 February 2013
PDF: 13 pages
Proc. SPIE 8587, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XI, 85870U (22 February 2013); doi: 10.1117/12.2005587
Show Author Affiliations
Nicholas MacKinnon, Spectral Molecular Imaging Inc. (United States)
Fartash Vasefi, Spectral Molecular Imaging Inc. (United States)
Eugene Gussakovsky, Spectral Molecular Imaging Inc. (United States)
Gregory Bearman, Spectral Molecular Imaging Inc. (United States)
Robert Chave, Spectral Molecular Imaging Inc. (United States)
Daniel L. Farkas, Spectral Molecular Imaging Inc. (United States)
Univ. of Southern California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 8587:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XI
Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif, Editor(s)

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