Large-depth-of-field full-field optical angiography
Large-depth-of-field full-field optical angiography
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大景深全视野光学血管造影
DOI：
10.1002/jbio.201800329
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发表时间：
2019
影响因子：
2.8
通讯作者：
Tan Haishu
中科院分区：
文献类型：
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作者：
Wang Mingyi;Wu Nanshou;Huang Hongheng;Luo Jiaxiong;Lan Gongpu;Zeng Yaguang;Wang Xuehua;Xiong Honglian;Han Dingan;Tan Haishu
开发了一种大景深全视场光学血管造影（LD - FFOA）方法，使用对比度金字塔融合算法（CPFA）扩展景深（DOF）。利用吸收强度波动调制效应获得不同焦距位置的全视场光学血管造影（FFOA）图像。利用CPFA对不同聚焦的FFOA图像进行处理。通过选择高对比度区域，CPFA可以突出血管的特征和细节，从而获得LD - FFOA图像。在该方法的最佳情况下，使用10张不同聚焦的FFOA图像，其DOF增加了三倍以上。实验结果表明，LD - FFOA解决了生物样品表面和厚度不均匀引起的FFOA散焦问题。该方法具有应用于实际生物学实验的潜力。
A large‐depth‐of‐field full‐field optical angiography (LD‐FFOA) method is developed to expand the depth‐of‐field (DOF) using a contrast pyramid fusion algorithm (CPFA). The absorption intensity fluctuation modulation effect is utilized to obtain full‐field optical angiography (FFOA) images at different focus positions. The CPFA is used to process these FFOA images with different focuses. By selecting high‐contrast areas, the CPFA can highlight the characteristics and details of blood vessels to obtain LD‐FFOA images. In the optimal case of the proposed method, the DOF for FFOA is more than tripled using 10 differently focused FFOA images. Both the phantom and animal experimental results show that the LD‐FFOA resolves FFOA defocusing issues induced by surface and thickness inhomogeneities in biological samples. The proposed method can be potentially applied to practical biological experiments.