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 hetero-associative 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.

High Throughput AOTF Hyperspectral Imager for Randomly Polarized Light

“…Consequently, the throughputs of AOTF and LCTF are typically in the 40% [9] and 10% [25] range, respectively. This throughput is significantly lower than the 60-90% typically found in thin film band-pass filters [26], consequently limiting their use in low light applications [27].…”

Graph-based skin lesion segmentation of multispectral dermoscopic images

“…Hair detection is complicated * Work supported by grant ANR-10-TECS-018 MELASCAN due to thin and thick hair, hairs with different colors and similar color with the lesion [5]. The interest of multispectral imaging in dermoscopy [6] relies on the principle that light of the visible and infrared spectrums penetrates the skin in different depths and this enables to reveal different features of the skin lesion. We can make the most of the information provided with infrared light since, in addition to reveal the melanin present in the deeper layers of the skin [7], it also better exhibit the hairs than under visible light (see the two first columns in Figure 1).…”

Identification of precancerous lesions by multispectral gastroendoscopy

“…Multispectral imaging has been previously used in medical applications, for instance, to identify lesions on the skin [28], or to retrieve biological parameters [18]. There are also some applications to gastric tissue, such as [12] and [21], reporting observed differences between healthy and precancerous ex-vivo colon tissues.…”