Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China.
Department of Physics, Tsinghua University, Beijing, China.
J Biophotonics. 2019 Dec;12(12):e201900151. doi: 10.1002/jbio.201900151. Epub 2019 Oct 1.
Recently, the incidence of inflammatory bowel diseases, especially the Crohn's disease (CD) and gastrointestinal luminal tuberculosis (ITB), has grown rapidly worldwide. Currently there is no general gold standard to distinguish between CD and ITB tissues, which both have tuberculosis and surrounding fibrous structures. Mueller matrix imaging technique is suitable for describing the location, density and distribution behavior of such fibrous structures. In this study, we apply the Mueller matrix microscopic imaging to the CD and ITB tissue samples. The 2D Mueller matrix images of the CD and ITB tissue slices are measured using the Mueller matrix microscope developed in our previous study, then the Mueller matrix polar decomposition and Mueller matrix transformation parameters are calculated. To evaluate the distribution features of the fibrous structures surrounding the tuberculosis areas more quantitatively and precisely, we analyze the retardance related Mueller matrix derived parameters, which show clear different distribution behaviors between the CD and ITB tissues, using the Tamura image processing method. It is demonstrated that the Mueller matrix derived parameters can reveal the structural features of tuberculosis areas and be used as quantitative indicators to distinguish between CD and ITB tissues, which may be useful for the clinical diagnosis.
近年来，炎症性肠病（尤其是克罗恩病（CD）和胃肠道腔隙性结核病（ITB））的发病率在全球范围内迅速上升。目前尚无一般的金标准来区分 CD 和 ITB 组织，因为这两种组织都有结核和周围的纤维结构。 Mueller 矩阵成像技术适用于描述这种纤维结构的位置、密度和分布行为。在本研究中，我们将 Mueller 矩阵微观成像技术应用于 CD 和 ITB 组织样本。使用我们之前研究中开发的 Mueller 矩阵显微镜测量 CD 和 ITB 组织切片的 2D Mueller 矩阵图像，然后计算 Mueller 矩阵偏振分解和 Mueller 矩阵变换参数。为了更准确地评估结核周围纤维结构的分布特征，我们使用 Tamura 图像处理方法分析了与延迟相关的 Mueller 矩阵导出参数，这些参数显示 CD 和 ITB 组织之间存在明显不同的分布行为。结果表明，Mueller 矩阵导出参数可以揭示结核区域的结构特征，并可作为区分 CD 和 ITB 组织的定量指标，这可能对临床诊断有帮助。
