Reconstruction of hyperspectral cutaneous data from an artificial neural network-based multispectral imaging system.
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.
Jolivot
Romuald
R
Laboratoire Le2i, UMR CNRS 5158, UFR Sc. & Tech., Université de Bourgogne, BP 474870, 21078 Dijon Cedex, France. romuald.jolivot@u-bourgogne.fr
Vabres
Pierre
P
Marzani
Franck
F
D003124:Colorimetry / Q000295:instrumentation*; D046169:Dermoscopy / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005374:Filtration / Q000295:instrumentation*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation*; D016571:Neural Networks, Computer; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012871:Skin Diseases / Q000473:pathology*