Zokay Mustapha, Saylani Hicham
Laboratory of Materials, Signals, Systems and Physical Modeling, Faculty of Sciences, Ibn Zohr University, Agadir BP 8106, Morocco.
Diagnostics (Basel). 2024 Oct 14;14(20):2288. doi: 10.3390/diagnostics14202288.
: Based on Blind Source Separation and the use of multispectral imaging, the new approach we propose in this paper aims to improve the estimation of the concentrations of the main skin chromophores (melanin, oxyhemoglobin and deoxyhemoglobin), while considering shading as a fully-fledged source. : In this paper, we demonstrate that the use of the Infra-Red spectral band, in addition to the traditional RGB spectral bands of dermatological images, allows us to model the image provided by each spectral band as a mixture of the concentrations of the three chromophores in addition to that of the shading, which are estimated through four steps using Blind Source Separation. : We studied the performance of our new method on a database of real multispectral dermatological images of melanoma by proposing a new quantitative performances measurement criterion based on mutual information. We then validated these performances on a database of multispectral dermatological images that we simulated using our own new protocol. : All the results obtained demonstrated the effectiveness of our new approach for estimating the concentrations of the skin chromophores from a multispectral dermatological image, compared to traditional approaches that consist of using only the RGB image by neglecting shading.
基于盲源分离和多光谱成像的应用，我们在本文中提出的新方法旨在改进对主要皮肤发色团（黑色素、氧合血红蛋白和脱氧血红蛋白）浓度的估计，同时将阴影视为一个完整的源。
在本文中，我们证明，除了皮肤科图像的传统RGB光谱带之外，使用红外光谱带使我们能够将每个光谱带提供的图像建模为除阴影浓度之外的三种发色团浓度的混合，通过使用盲源分离的四个步骤来估计这些浓度。
我们通过提出一种基于互信息的新的定量性能测量标准，在黑色素的真实多光谱皮肤科图像数据库上研究了我们新方法的性能。然后，我们在使用我们自己的新协议模拟的多光谱皮肤科图像数据库上验证了这些性能。
与仅使用RGB图像而忽略阴影的传统方法相比，所获得的所有结果都证明了我们的新方法从多光谱皮肤科图像估计皮肤发色团浓度的有效性。
