Automatic quantification and visualization of 3-D collagen fiber architecture using Optical Coherence Tomography (OCT) has previously relied on polarization information and/or prior knowledge of tissue-specific fiber architecture. This study explores image processing, enhancement, segmentation, and detection algorithms to map 3-D collagen fiber architecture from OCT images alone. 3-D fiber mapping, histogram analysis, and 3-D tractography revealed fiber groupings and macro-organization previously unseen in uterine tissue samples. We applied our method on centimeter-scale mosaic OCT volumes of uterine tissue blocks from pregnant and non-pregnant specimens revealing a complex, patient-specific network of fibrous collagen and myocyte bundles.

中文翻译：

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使用 OCT 对人体子宫组织进行三维胶原纤维测绘和纤维束成像


使用光学相干断层扫描 (OCT) 对 3D 胶原纤维结构进行自动量化和可视化以前依赖于偏振信息和/或组织特异性纤维结构的先验知识。本研究探索图像处理、增强、分割和检测算法，以仅从 OCT 图像映射 3D 胶原纤维结构。 3-D 纤维绘图、直方图分析和 3-D 纤维束成像揭示了子宫组织样本中以前未见过的纤维分组和宏观组织。我们将我们的方法应用于来自怀孕和非怀孕样本的子宫组织块的厘米级马赛克 OCT 体积，揭示了复杂的、患者特异性的纤维胶原和肌细胞束网络。