Enhanced spatial resolution for snapshot hyperspectral imaging of blood perfusion and melanin information within human tissue.,Journal of Biophotonics

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Enhanced spatial resolution for snapshot hyperspectral imaging of blood perfusion and melanin information within human tissue.
Journal of Biophotonics ( IF 2.0 ) Pub Date : 2020-03-10 , DOI: 10.1002/jbio.202000019
Qinghua He ₁ , Teng Liu ₁ , Ruikang K Wang _{1,

2}

Affiliation

We report a reconstruction method to achieve high spatial resolution for hyperspectral imaging of chromophore features in skin in vivo. The method utilizes an established structure‐adaptive normalized convolution algorithm to reconstruct high spatial resolution of hyperspectral images from snapshot low‐resolution hyperspectral image sequences captured by a snapshot spectral camera. The reconstructed images at chromophore‐sensitive wavebands are used to map the skin features of interest. We demonstrate the method experimentally by mapping the blood perfusion and melanin features (moles) on the facial skin. The method relaxes the constrains of the relatively low spatial resolution in the snapshot hyperspectral camera, making it more usable in imaging applications.

中文翻译：

增强的空间分辨率，用于人体组织内血液灌注和黑色素信息的快照高光谱成像。

我们报告了一种重建方法，可以实现体内皮肤发色团特征的高光谱成像的高空间分辨率。该方法利用已建立的结构自适应归一化卷积算法从快照光谱相机捕获的快照低分辨率高光谱图像序列中重建高光谱图像的高空间分辨率。在生色团敏感波段的重建图像用于绘制感兴趣的皮肤特征。我们通过在面部皮肤上绘制血液灌注和黑色素特征（摩尔）来实验证明该方法。该方法放宽了快照高光谱相机中相对较低的空间分辨率的约束，使其更可用于成像应用。

更新日期：2020-03-10

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