Gong Peijun, Es'haghian Shaghayegh, Harms Karl-Anton, Murray Alexandra, Rea Suzanne, Wood Fiona M, Sampson David D, McLaughlin Robert A
Optical + Biomedical Engineering Laboratory, School of Electrical, Electronic & Computer Engineering, The University of Western Australia, Perth, WA 6009, Australia.
Burns Service of Western Australia, Royal Perth Hospital, Perth, WA 6000, Australia.
Biomed Opt Express. 2016 Nov 2;7(12):4886-4898. doi: 10.1364/BOE.7.004886. eCollection 2016 Dec 1.
We present an automated, label-free method for lymphangiography of cutaneous lymphatic vessels in humans using optical coherence tomography (OCT). This method corrects for the variation in OCT signal due to the confocal function and sensitivity fall-off of a spectral-domain OCT system and utilizes a single-scattering model to compensate for A-scan signal attenuation to enable reliable thresholding of lymphatic vessels. A segment-joining algorithm is then incorporated into the method to mitigate partial-volume effects with small vessels. The lymphatic vessel images are augmented with images of the blood vessel network, acquired from the speckle decorrelation with additional weighting to differentiate blood vessels from the observed high decorrelation in lymphatic vessels. We demonstrate the method with longitudinal scans of human burn scar patients undergoing ablative fractional laser treatment, showing the visualization of the cutaneous lymphatic and blood vessel networks.
我们提出了一种使用光学相干断层扫描(OCT)对人体皮肤淋巴管进行淋巴管造影的自动化、无标记方法。该方法校正了由于光谱域OCT系统的共焦功能和灵敏度下降而导致的OCT信号变化,并利用单散射模型补偿A扫描信号衰减,以实现对淋巴管的可靠阈值化。然后将一种线段连接算法纳入该方法,以减轻小血管的部分容积效应。淋巴管图像通过从散斑去相关获得的血管网络图像进行增强,并附加权重以区分血管与在淋巴管中观察到的高去相关性。我们通过对接受剥脱性分数激光治疗的人类烧伤疤痕患者进行纵向扫描来展示该方法,显示了皮肤淋巴管和血管网络的可视化。