Principal-component-analysis-based estimation of blood flow velocities using optical coherence tomography intensity signals.
Principal-component-analysis-based estimation of blood flow velocities using optical coherence tomography intensity signals.
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DOI：
10.1364/ol.36.002068
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发表时间：
2011-06-01
期刊：
影响因子：
3.6
通讯作者：
Vakoc B
中科院分区：
文献类型：
--
作者：
Mohan N;Vakoc B
光学相干层析成像中的强度信号包含散射体平移速度的信息，可以用来量化血流。我们应用主成分分析来有效地提取这些信息。我们还研究了利用强度信号的非均匀时间采样来增加可量化流速的范围。我们在模拟、体模和活体血流测量中演示了这项技术，并强调了它使用OCT进行三维广域血流成像的潜力。
The intensity signal in optical coherence tomography contains information about the translational velocity of scatterers, and can be used to quantify blood flow. We apply principal component analysis to efficiently extract this information. We also study use of nonuniform temporal sampling of the intensity signal to increase the range of quantifiable flow velocities. We demonstrate this technique in simulation, phantom and in vivo blood flow measurements, and highlight its potential to enable three-dimensional wide-field mapping of blood flow using OCT.