Liu Yi-Rong, Liang Chao-Feng, Zhao Han-Qiao, Ou Yun-Mou, Wu Jian
School of Medicine, Tsinghua University, Beijing, China.
Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.
Front Neurosci. 2023 Jul 13;17:1163701. doi: 10.3389/fnins.2023.1163701. eCollection 2023.
Polarization imaging technique (PIT) based on a backward scattering 3 × 3 Mueller matrix polarization imaging experimental setup is able to study the optical information and microstructure of glioma and non-glioblastoma tissues from clinical treatment. However, the image contrast of Mueller Matrix Elements (MME) is far from sufficient to provide supplemental information in the clinic, especially in off-diagonal MME. The aim of this work is to propose an innovative method to improve the contrast and quality of PIT images of glioma and non-glioma tissues. The work first confirms the robustness of the method by evaluating the enhanced images and assessment coefficients on unstained glioma and non-glioma sample bulks, then the optimal enhancement results are tested and presented based on the multi-sample tests. This PIT image enhancement method can greatly improve the contrast and detailed texture information of MMEs images, which can provide more useful clinical information, and further be used to identify glioma and residues in the intraoperative environment with PIT.
基于后向散射3×3穆勒矩阵偏振成像实验装置的偏振成像技术（PIT）能够研究临床治疗中胶质瘤和非胶质母细胞瘤组织的光学信息和微观结构。然而，穆勒矩阵元素（MME）的图像对比度远远不足以在临床上提供补充信息，尤其是非对角MME。这项工作的目的是提出一种创新方法，以提高胶质瘤和非胶质瘤组织的PIT图像的对比度和质量。该工作首先通过评估未染色的胶质瘤和非胶质瘤样本块上的增强图像和评估系数来确认该方法的稳健性，然后基于多样本测试对最佳增强结果进行测试和展示。这种PIT图像增强方法可以极大地提高MME图像的对比度和详细纹理信息，这可以提供更多有用的临床信息，并进一步用于在术中环境中通过PIT识别胶质瘤和残留物。
