J Biomed Opt. 2013 Aug;18(8):86004. doi: 10.1117/1.JBO.18.8.086004.
Lymphatic vessels are a part of the circulatory system that collect plasma and other substances that have leaked from the capillaries into interstitial fluid (lymph) and transport lymph back to the circulatory system. Since lymph is transparent, lymphatic vessels appear as dark hallow vessel-like regions in optical coherence tomography (OCT) cross sectional images. We propose an automatic method to segment lymphatic vessel lumen from OCT structural cross sections using eigenvalues of Hessian filters. Compared to the existing method based on intensity threshold, Hessian filters are more selective on vessel shape and less sensitive to intensity variations and noise. Using this segmentation technique along with optical micro-angiography allows label-free noninvasive simultaneous visualization of blood and lymphatic vessels in vivo. Lymphatic vessels play an important role in cancer, immune system response, inflammatory disease, wound healing and tissue regeneration. Development of imaging techniques and visualization tools for lymphatic vessels is valuable in understanding the mechanisms and studying therapeutic methods in related disease and tissue response.
淋巴管是循环系统的一部分,它收集从毛细血管渗出到组织间隙液(淋巴)中的血浆和其他物质,并将淋巴输送回循环系统。由于淋巴是透明的,因此在光学相干断层扫描(OCT)横截面图像中,淋巴管呈现为黑暗的中空管状区域。我们提出了一种使用 Hessian 滤波器本征值自动从 OCT 结构横截面上分割淋巴管腔的方法。与基于强度阈值的现有方法相比,Hessian 滤波器对血管形状的选择性更强,对强度变化和噪声的敏感性更低。使用这种分割技术以及光学微血管造影术,可以在体内非侵入性地同时可视化血液和淋巴管而无需标记。淋巴管在癌症、免疫系统反应、炎症性疾病、伤口愈合和组织再生中起着重要作用。开发淋巴管成像技术和可视化工具对于理解相关疾病和组织反应的机制以及研究治疗方法具有重要价值。