Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan.
Biophotonics & Molecular Imaging Research Center (BMIRC), National Yang-Ming University, Taipei, Taiwan.
J Biophotonics. 2016 Apr;9(4):343-50. doi: 10.1002/jbio.201400153. Epub 2015 Mar 9.
Non-invasive and quantitative estimations for the delineation of sub-surface tumor margins could greatly aid in the early detection and monitoring of the morphological appearances of tumor growth, ensure complete tumor excision without the unnecessary sacrifice of healthy tissue, and facilitate post-operative follow-up for recurrence. In this study, a high-speed, non-invasive, and ultra-high-resolution spectral domain optical coherence tomography (UHR-SDOCT) imaging platform was developed for the quantitative measurement of human sub-surface skin mass. With a proposed robust, semi-automatic analysis, the system can rapidly quantify lesion area and shape regularity by an en-face-oriented algorithm. Various sizes of nylon sutures embedded in pork skin were used first as a phantom to verify the accuracy of our algorithm, and then in vivo, feasibility was proven using benign human angiomas and pigmented nevi. Clinically, this is the first step towards an automated skin lesion measurement system. In vivo optical coherence tomography (OCT) image of angioma (A). Thin red arrows point to a blood vessel (BV).
用于界定皮下肿瘤边界的无创和定量估计，可极大地帮助早期发现和监测肿瘤生长的形态表现，确保在不牺牲健康组织的情况下完整切除肿瘤，并有助于术后随访以发现复发。在这项研究中，开发了一种高速、无创和超高分辨率的光谱域光学相干断层扫描（UHR-SDOCT）成像平台，用于对人体皮下肿块进行定量测量。通过提出的稳健、半自动分析，该系统可以通过面向切面的算法快速定量病变区域和形状规则度。首先将嵌入猪皮中的各种尺寸的尼龙缝线用作模型，以验证我们算法的准确性，然后在体内，使用良性人类血管瘤和色素性神经瘤证明了其可行性。临床上，这是朝着自动皮肤病变测量系统迈出的第一步。体内血管瘤的光学相干断层扫描（OCT）图像（A）。细的红色箭头指向血管（BV）。
