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Proceedings Paper

Multispectral imaging for early diagnosis of melanoma
Author(s): Anna Pelagotti; Pasquale Ferrara; Leonardo Pescitelli; Chiara Delfino; Gianni Gerlini; Alessandro Piva; Lorenzo Borgognoni
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Paper Abstract

Melanoma is a very aggressive cutaneous neoplasm, incidence and mortality of which continues to rise worldwide. Identification of initial melanoma may be difficult because it may be clinically, and sometimes also dermoscopically, indistinguishable from benign lesions. Currently definitive diagnosis is made only by histopathological observation of the excised lesion. Several tools have been developed to help detecting malignant lesions. Dermoscopy highlights numerous characteristic features of the lesion and of the pigmented network. The method we propose exploits a multispectral imaging device to acquire a set of images in the visible and NIR range. Thanks to the fact that light propagates into the skin and reaches different depths depending on its wavelength, such a system is capable of imaging layers of structures placed at increasing depths. Therefore a new semeiotics is proposed to describe the content of such images. Dermoscopic criteria can be easily applied to describe each image in the set, however inter-images correlation needs new suitable descriptors. The first group of new parameters describes how the dermoscopic ones, vary across the set of images. More features are then introduced. E.g. the longest wavelength where structures can be detected gives an estimate of the maximum depth reached by the pigmented lesion. While the presence of a bright-to-dark transition between the wavebands in the violet to blue range, reveals the presence of blue-whitish veil, which is a further malignancy marker.

Paper Details

Date Published: 6 March 2013
PDF: 6 pages
Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86684A (6 March 2013); doi: 10.1117/12.2007560
Show Author Affiliations
Anna Pelagotti, CNR-INO (Italy)
Pasquale Ferrara, CNR-INO (Italy)
Leonardo Pescitelli, CNR-INO (Italy)
Chiara Delfino, CNR-INO (Italy)
Gianni Gerlini, Azienda Sanitaria Locale (Italy)
Alessandro Piva, Univ. of Florence (Italy)
Lorenzo Borgognoni, Azienda Sanitaria Locale (Italy)


Published in SPIE Proceedings Vol. 8668:
Medical Imaging 2013: Physics of Medical Imaging
Robert M. Nishikawa; Bruce R. Whiting; Christoph Hoeschen, Editor(s)

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