McLean James P, Fang Shuyang, Gallos George, Myers Kristin M, Hendon Christine P
Department of Electrical Engineering, Columbia University, New York, NY 10027, USA.
Department of Mechanical Engineering, Columbia University, New York, NY 10027, USA.
Biomed Opt Express. 2020 Sep 11;11(10):5518-5541. doi: 10.1364/BOE.397041. eCollection 2020 Oct 1.
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.
使用光学相干断层扫描（OCT）对三维胶原纤维结构进行自动定量和可视化，此前依赖于偏振信息和/或组织特异性纤维结构的先验知识。本研究探索了图像处理、增强、分割和检测算法，以仅从OCT图像绘制三维胶原纤维结构。三维纤维映射、直方图分析和三维纤维束成像揭示了子宫组织样本中以前未见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未怀孕标本的子宫组织块的厘米级镶嵌OCT体积，揭示了一个复杂的、患者特异性的纤维胶原和肌细胞束网络。
