Bispectral fluorescence imaging combined with texture analysis and linear discrimination for correlation with histopathologic extent of basal cell carcinoma -: art. no. 034009
Bispectral fluorescence imaging combined with texture analysis and linear discrimination for correlation with histopathologic extent of basal cell carcinoma -: art. no. 034009
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DOI：
10.1117/1.1925650
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发表时间：
2005-05-01
影响因子：
3.5
通讯作者：
Rosén, A
中科院分区：
文献类型：
--
作者：
Ericson, MB;Uhre, J;Rosén, A
荧光成像已被证明是视觉检查的潜在补充，用于划分基底细胞癌（BCC），这是最常见的皮肤癌类型。早期的研究已经显示出有希望的结果时，结合自发荧光与原卟啉IX（Pp IX）荧光，诱导应用δ-5-氨基乙酰丙酸（ALA）。在这项工作中，我们试图进一步提高这种技术的能力，区分肿瘤和正常皮肤的区域，通过实施纹理分析和Fisher线性判别（FLD）的双谱荧光数据的BCC位于脸上。病变的分类图已经从切除的肿瘤的组织病理学映射中获得。发现从共生矩阵获得的对比度特征提供有用的信息，特别是对于ALA诱导的Pp IX荧光数据。此外，自发荧光和Pp IX荧光的邻域平均特征优先包括在分析中。该算法通过使用与组织病理学具有良好一致性的图像训练集进行训练，从而提高了验证集的可区分性。此外，交叉验证的训练集表现出良好的区分度。我们的研究结果表明，FLD和纹理分析是优先的双谱荧光图像和肿瘤的组织病理学范围之间的相关性。(c)2005年，由光学仪器工程师学会（Society of Photo-Optical Instrumentation Engineers）主办。
Fluorescence imaging has been shown to be a potential complement to visual inspection for demarcation of basal cell carcinoma ( BCC), which is the most common type of skin cancer. Earlier studies have shown promising results when combining autofluorescence with protoporphyrin IX ( Pp IX) fluorescence, induced by application of delta-5-aminolaevulinic acid ( ALA). In this work, we have tried to further improve the ability of this technique to discriminate between areas of tumor and normal skin by implementing texture analysis and Fisher linear discrimination ( FLD) on bispectral fluorescence data of BCCs located on the face. Classification maps of the lesions have been obtained from histopathologic mapping of the excised tumors. The contrast feature obtained from co-occurrence matrices was found to provide useful information, particularly for the ALA-induced Pp IX fluorescence data. Moreover, the neighborhood average features of both autofluorescence and Pp IX fluorescence were preferentially included in the analysis. The algorithm was trained by using a training set of images with good agreement with histopathology, which improved the discriminability of the validation set. In addition, cross validation of the training set showed good discriminability. Our results imply that FLD and texture analysis are preferential for correlation between bispectral fluorescence images and the histopathologic extension of the tumors. (c) 2005 Society of Photo-Optical Instrumentation Engineers.