Abstract

The clinical in vivo tissue bulks’ surface is always coarse and shows a complex microscopic geometry which may affect the visual effect of polarization images and calculation of polarization parameters of the sample. To confirm whether this effect would cause identification difficulties and misjudgments on the target recognition when performed the polarization imaging based on 3 × 3 Mueller matrix measurement, cylindrical type and slope type physical models were used to study and analyze the effect of the surface with complex microscopic geometry on the polarization images. Then, clinical tumor bulk samples were used to interact with different sizes of patterns to simulate the different complex microscopic geometry and test the coarse surface effect on polarization images. Meanwhile, assessment parameters were defined to evaluate and confirm the variation between two polarization images quantitatively. The results showed that the polarization imaging of the sample surface with the complex microscopic geometry led to acceptable visual effect and limited quantitative variation on the value of polarization parameters and assessment parameters, and it caused no identification difficulties on target recognition, indicating that it is feasible to apply the polarization imaging based on 3 × 3 Mueller matrix measurement on clinical in vivo tissues with the complex microscopic geometry sample surface.

Highlights

  • Polarization imaging technique is a promising noninvasive method to provide rich microstructural information about different types of the sample (KU et al, 2019; Ramella-Roman et al, 2020), primarily used as biomedical imaging applications (Xiao et al, 2019)

  • We studied the feasibility of the 3 × 3 Mueller matrix measurement using clinical in vivo tissues with the complex microscopic geometry sample surface and demonstrated the quantitative variation of the effect on polarization images

  • It is proposed that ΔC and P were feasible indicators to show the variation bringing up from the effect of the detected samples’ surface with different microscopic geometry

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Summary

Introduction

Polarization imaging technique is a promising noninvasive method to provide rich microstructural information about different types of the sample (KU et al, 2019; Ramella-Roman et al, 2020), primarily used as biomedical imaging applications (Xiao et al, 2019). It has been combined with microscopy (He et al, 2019) and endoscopy to help achieve precision and noninvasive medical detection and treatment, and polarization parameters have been proposed to explain distinctive pathological structures (Lu and Chipman, 1996; He et al, 2019) and help to detect human skin, esophageal, colorectal, and oral cancers and cervical carcinoma (Sheng et al, 2019) among others. We studied the feasibility of the 3 × 3 Mueller matrix measurement using clinical in vivo tissues with the complex microscopic geometry sample surface and demonstrated the quantitative variation of the effect on polarization images

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