Cukierski William J, Foran David J
Center for Biomedical Imaging and Informatics, The Cancer Institute of NJ, UMDNJ-RWJMS.
Proc IEEE Int Symp Biomed Imaging. 2010 Apr 14;2010:145-148. doi: 10.1109/ISBI.2010.5490392.
A multispectral camera is capable of imaging a histologic slide at narrow bandwidths over the range of the visible spectrum. There is currently no clear consensus over the circumstances in which this added spectral data may improve computer-aided interpretation and diagnosis of imaged pathology specimens [1, 2, 3]. Two spectra which are perceived as the same color are called metamers, and the collection of all such spectra are referred to as the metamer set. Highly metameric colors are amenable to separation through multispectral imaging (MSI).Using the transformation between the spectrum and its perceived color, our work addresses the question of when MSI reveals information not represented by a standard RGB color image. An analytical estimate on the size of the metamer set is derived for the case of independent spectral absorption. It is shown that colors which are closest to the white point on the chromaticity diagram are highly metameric. A numerical method to estimate the metamer set in a domain-specific manner is provided. The method is demonstrated on multispectral data sets of imaged peripheral blood smears and breast tissue microarrays. An a priori estimate on the degree of metamerism from a standard color image is presented.
多光谱相机能够在可见光谱范围内的窄带宽下对组织学切片进行成像。目前，对于在何种情况下这种额外的光谱数据可改善对成像病理标本的计算机辅助解释和诊断，尚无明确的共识[1,2,3]。两种被视为相同颜色的光谱称为同色异谱，所有此类光谱的集合称为同色异谱集。高度同色异谱的颜色适合通过多光谱成像（MSI）进行分离。利用光谱与其感知颜色之间的转换，我们的工作解决了MSI何时能揭示标准RGB彩色图像未呈现的信息这一问题。针对独立光谱吸收的情况，推导了同色异谱集大小的解析估计。结果表明，在色度图上最接近白点的颜色具有高度同色异谱性。提供了一种以特定领域方式估计同色异谱集的数值方法。该方法在成像外周血涂片和乳腺组织微阵列的多光谱数据集上得到了验证。给出了从标准彩色图像对同色异谱程度的先验估计。
