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多模态成像结合自动荧光和光相干断层扫描技术用于识别颈部组织。

Multimodal imaging with integrated auto-fluorescence and optical coherence tomography for identification of neck tissues.

机构信息

Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology, Institute of Modern Optics, Nankai University, Tianjin, 300350, China.

Department of Thyroid and Neck Tumor, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.

出版信息

Lasers Med Sci. 2021 Jul;36(5):1023-1029. doi: 10.1007/s10103-020-03139-3. Epub 2020 Sep 8.

Abstract

We report a multimodal optical system by combining OCT with autofluorescence imaging for identifying neck tissues, which can use the advantages of large field of view and high sensitivity for identifying parathyroid glands of fluorescence imaging, and high-resolution structural imaging of OCT to confirm them and identify lymph nodes and metastatic lymph nodes at the same time. It is proven that this multimodal optical system can be used to identify different neck tissues effectively and efficiently. We think that integrated auto-fluorescence and OCT imaging have the great potential in the application of navigation and assistant diagnosis of thyroid surgery.

摘要

我们报告了一种结合 OCT 和自发荧光成像的多模态光学系统,用于识别颈部组织,可以利用荧光成像的大视场和高灵敏度来识别甲状旁腺,以及 OCT 的高分辨率结构成像来确认它们,并同时识别淋巴结和转移性淋巴结。事实证明,这种多模态光学系统可以有效地识别不同的颈部组织。我们认为,自发荧光和 OCT 成像的集成具有在甲状腺手术导航和辅助诊断应用中的巨大潜力。

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