Ultra-miniature dual-wavelength spatial frequency domain imaging for micro-endoscopy

Ultra-miniature dual-wavelength spatial frequency domain imaging for micro-endoscopy
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DOI:
10.1117/1.jbo.29.2.026002
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发表时间:
2024-02-01
影响因子:
3.5
通讯作者:
--
中科院分区:
医学3区
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需要一种具有成本效益的定量成像工具,其可以通过内窥镜部署以更好地检测早期胃肠道癌症。空间频域成像(SFDI)是一种低成本的成像技术,可产生近实时的吸收和减少散射系数的定量图,但大多数实现方式体积庞大,仅适用于体外使用。我们的目标是开发一个超小型SFDI系统,包括光纤阵列(直径0.125毫米)和微型相机(包),以取代传统的笨重的组件,特别是投影仪。首先,我们制造了一个外径为3 mm的原型,尽管单个组件的尺寸可以允许未来包装到一个直径。我们开发了一种相位跟踪算法,以快速提取图像与条纹投影在三个等距相移进行SFDI解调。为了验证性能,我们首先展示了我们的超小型系统和传统的台式SFDI系统之间的定量光学特性的可比恢复,吸收和减少散射的协议分别为15%和6%。接下来,我们展示了吸收和减少散射的组织模仿幻影提供模拟组织类型(健康和肿瘤)之间的对比度增强,同时在515和660 nm的波长下完成的成像。使用支持向量机分类器,我们估计的敏感性和特异性值是可行的检测模拟鳞状细胞癌。该设备显示出作为一种具有成本效益的定量成像工具的前景,以检测光学吸收和散射的变化作为癌症的指标。
There is a need for a cost-effective, quantitative imaging tool that can be deployed endoscopically to better detect early stage gastrointestinal cancers. Spatial frequency domain imaging (SFDI) is a low-cost imaging technique that produces near-real time, quantitative maps of absorption and reduced scattering coefficients, but most implementations are bulky and suitable only for use outside the body. We aim to develop an ultra-miniature SFDI system comprising an optical fiber array (diameter 0.125 mm) and a micro camera ( package) to displace conventionally bulky components, in particular, the projector. First, we fabricated a prototype with an outer diameter of 3 mm, although the individual component dimensions could permit future packaging to a diameter. We developed a phase-tracking algorithm to rapidly extract images with fringe projections at three equispaced phase shifts to perform SFDI demodulation. To validate the performance, we first demonstrate comparable recovery of quantitative optical properties between our ultra-miniature system and a conventional bench-top SFDI system with an agreement of 15% and 6% for absorption and reduced scattering, respectively. Next, we demonstrate imaging of absorption and reduced scattering of tissue-mimicking phantoms providing enhanced contrast between simulated tissue types (healthy and tumour), done simultaneously at wavelengths of 515 and 660 nm. Using a support vector machine classifier, we estimate that sensitivity and specificity values of are feasible for detecting simulated squamous cell carcinoma. This device shows promise as a cost-effective, quantitative imaging tool to detect variations in optical absorption and scattering as indicators of cancer.
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