Reconstruction of hyperspectral cutaneous data from an artificial neural network-based multispectral imaging system

Abstract The development of an integrated MultiSpectral Imaging ( MSI ) system yielding hyperspectral cubes by means of artificial neural networks is described. The MSI system is based on a CCD camera, a rotating wheel bearing a set of seven interference filters, a light source and a computer. The r...

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Bibliographic Details
Published in:Computerized medical imaging and graphics 2011-03, Vol.35 (2), p.85-88
Main Authors: Jolivot, Romuald, Vabres, Pierre, Marzani, Franck
Format: Article
Language:English
Subjects:
Colorimetry - instrumentation
Computer Science
Dermoscopy - instrumentation
Engineering Sciences
Equipment Design
Equipment Failure Analysis
Filtration - instrumentation
Humans
Hyperspectral cube reconstruction
Image Interpretation, Computer-Assisted - instrumentation
Imaging system
Internal Medicine
Multispectral images
Neural networks
Neural Networks (Computer)
Other
Reproducibility of Results
Sensitivity and Specificity
Signal and Image processing
Skin cancer
Skin Diseases - pathology
Spectral reflectance
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Summary:Abstract The development of an integrated MultiSpectral Imaging ( MSI ) system yielding hyperspectral cubes by means of artificial neural networks is described. The MSI system is based on a CCD camera, a rotating wheel bearing a set of seven interference filters, a light source and a computer. The resulting device has been elaborated for in vivo imaging of skin lesions. It provides multispectral images and is coupled with a software reconstructing hyperspectral cubes from multispectral images. Reconstruction is performed by a neural network-based algorithm using heteroassociative memories. The resulting hyperspectral cube provides skin optical reflectance spectral data combined with bidimensional spatial information. This combined information will hopefully improve diagnosis and follow-up in a range of skin disorders from skin cancer to inflammatory diseases.
ISSN:0895-6111
1879-0771
DOI:10.1016/j.compmedimag.2010.07.001