Research Of Dynamic Changes In Liver Fibrosis During The Development In Liver Diseases Based On Polarized Light Technology

[Objective]This study aimed to decompose the Mueller matrix containing relevant parameters based on the strategy of combining the collagen structure characteristics of liver tissue specimens with polarized light detection images,and combine texture feature analysis methods to establish A more accurate and quantitative more dynamic staging method to address the unmet need in the assessment of histopathological biopsy of fibrosis in patients with chronic liver disease.To explore the role and application value of Mueller matrix polarized optical imaging and its quantitative detection technology in assisting staging of liver fibrosis.[Methods]After random rat liver fibrosis model was established,liver fibrosis tissue samples were obtained from rats at various stages.Normal control group 10 cases in F0 stage,4 cases in F1 stage,4 cases in F2 stage,13 cases in F3 stage,15 cases in F4 stage,each case The adjacent 4μm and 15μm sections were cut for HE staining,Masson staining and polarized light imaging,respectively.The Mueller matrix decomposition algorithm was used to extract the polarization parameters that can reflect the structural characteristics of liver tissue,and the parameters were used for different types of pathological tissues.Pseudo-color imaging,using Local Binary Patterns(LBP)texture analysis technology to quantify the texture features that distinguish different pathological tissue polarization images.After obtaining the polarized light parameter data of liver tissue,the data map of each parameter of polarized light and LBP texture analysis parameter statistics,and the three-dimensional map after dimension reduction by Principal Component Analysis(PCA)were calculated respectively to verify the effect of polarized light on the observation of liver fibrosis.The ability to dynamically change.[Results]1.Extraction of Mueller matrix parameters for polarization imaging The Muller matrix decomposition(MMPD)method can extract the parametersδ and dichroism D,which reflect the structural differences of liver fibrosis,and depolarize them for polarized light imaging.The parameter δ is related to the content density of liver fibrosis.The tissue imaging achieved by this technology can clearly display liver tissue and also show the structural differences between fibrotic tissue and normal tissue.Three parameters were used for polarization imaging of different pathological types of liver fibrosis.2.LBP image texture analysis to quantitatively describe different pathological types of tissue Quantitative analysis of δ and θ parameters of LBP images,texture analysis parameters of five groups of pathological tissue polarization imaging:rotation invariant LBP of linear phase retardation ita(Greek letter δ),rotation invariance of fast axis direction theta(Greek letter θ)There are statistical differences in LBP characteristic parameters,which can be used to quantitatively describe the structural characteristics of different hepatic fibrosis pathological tissues.3.Analyze various parameter statistics and PCA dimensionality reduction Statistical analysis was performed on each parameter,and 4 kinds of statistics were obtained:mean,standard deviation,kurtosis and skewness.After one-way ANOVA,there were differences between groups in specimen parameters of each period.A total of 5 parameters obtained a total of 20 dimensions.The data were reduced to three dimensions by PCA,and images that were easy to observe with the naked eye were obtained.It suggested that the Mueller matrix parameters combined with image processing methods might be able to quantitatively assess liver fibrosis.[Conclusion]Polarized light imaging technology combined with texture feature analysis technology has the potential to detect liver fibrosis in chronic liver diseases and assist in the diagnosis and staging of liver fibrosis,and has the advantages of non-labeling,quantification,low cost and simple operation.