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 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.
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Computerized Medical Imaging and Graphics, Elsevier, 2011, 35, pp.85-88
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00586919
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  • HAL Id : hal-00586919, version 1

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Romuald Jolivot, Pierre Vabres, Franck Marzani. Reconstruction of hyperspectral cutaneous data from an artificial neural network-based multispectral imaging system. Computerized Medical Imaging and Graphics, Elsevier, 2011, 35, pp.85-88. <hal-00586919>

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