Quantification of angiographic images with two-photon laser scanning fluorescence microscopy (2PLSM) relies on proper segmentation of the vascular images. However, the images contain inhomogeneities in the signal-to-noise ratio (SNR) arising from regional effects of light scattering and absorption. The present study developed a semiautomated quantification method for volume images of 2PLSM angiography by adjusting the binarization threshold according to local SNR along the vessel centerlines.

中文翻译：

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适应信噪比区域不均匀性的体内图像三维微血管网络重建

使用双光子激光扫描荧光显微镜 (2PLSM) 对血管造影图像进行量化依赖于血管图像的正确分割。然而，图像包含由光散射和吸收的区域效应引起的信噪比 (SNR) 的不均匀性。本研究通过根据沿血管中心线的局部 SNR 调整二值化阈值，开发了一种用于 2PLSM 血管造影体积图像的半自动量化方法。