Laboratoire Le2i, UMR CNRS 5158, UFR Sc. & Tech., Université de Bourgogne, BP 474870, 21078 Dijon Cedex, France.
Comput Med Imaging Graph. 2011 Mar;35(2):85-8. doi: 10.1016/j.compmedimag.2010.07.001. Epub 2010 Aug 9.
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.
描述了一种通过人工神经网络生成高光谱立方体的集成多光谱成像（MSI）系统的开发。MSI 系统基于 CCD 相机、一个带有一组七个干涉滤光片的旋转轮、一个光源和一台计算机。所得到的设备已经被详细阐述用于皮肤病变的体内成像。它提供多光谱图像，并与从多光谱图像重建高光谱立方体的软件耦合。重建是通过使用异联想记忆的基于神经网络的算法来执行的。所得到的高光谱立方体提供了皮肤光学反射率光谱数据，结合了二维空间信息。这种组合信息有望改善从皮肤癌到炎症性疾病等一系列皮肤疾病的诊断和随访。
