Kirillin Mikhail, Perekatova Valeriya, Turchin Ilya, Subochev Pavel
Institute of Applied Physics, Russian Academy of Sciences, 46 Ulyanov Street, Nizhny Novgorod 603950, Russia.
Photoacoustics. 2017 Sep 22;8:59-67. doi: 10.1016/j.pacs.2017.09.004. eCollection 2017 Dec.
Modern optical imaging techniques demonstrate significant potential for high resolution angiography. Optoacoustic angiography benefits from higher imaging depth as compared to pure optical modalities. However, strong attenuation of optoacoustic signal with depth provides serious challenges for adequate 3D vessel net mapping, and proper compensation for fluence distribution within biotissues is required. We report on the novel approach allowing to estimate effective in-depth fluence profiles for optoacoustic systems. Calculations are based on Monte Carlo simulation of light transport and account for complex illumination geometry and acoustic detection parameters. The developed fluence compensation algorithm was tested in angiography of human palm and allowed to overcome significant in-depth attenuation of probing radiation and enhance the contrast of lower dermis plexus while preserving high resolution of upper plexus imaging.
现代光学成像技术在高分辨率血管造影方面显示出巨大潜力。与纯光学模态相比，光声血管造影受益于更深的成像深度。然而，光声信号随深度的强烈衰减给进行充分的三维血管网络映射带来了严峻挑战，因此需要对生物组织内的fluence分布进行适当补偿。我们报告了一种新颖的方法，该方法能够估计光声系统有效的深度fluence分布。计算基于光传输的蒙特卡罗模拟，并考虑了复杂的照明几何形状和声学检测参数。所开发的fluence补偿算法在人体手掌血管造影中进行了测试，能够克服探测辐射的显著深度衰减，增强真皮下层神经丛的对比度，同时保持上层神经丛成像的高分辨率。
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