基于主成分分析的光相干断层扫描强度信号血流速度估计。
Principal-component-analysis-based estimation of blood flow velocities using optical coherence tomography intensity signals.
机构信息
Wellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, 40 Blossom Street, Boston, Massachusetts 02114, USA.
出版信息
Opt Lett. 2011 Jun 1;36(11):2068-70. doi: 10.1364/OL.36.002068.
Abstract
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.
摘要
光学相干断层扫描中的强度信号包含有关散射体平移速度的信息，可用于量化血流。我们应用主成分分析来有效地提取此信息。我们还研究了不均匀时间采样强度信号以增加可量化血流速度范围的方法。我们在模拟、体模和体内血流测量中验证了该技术，并强调了其在使用 OCT 进行三维宽场血流映射中的潜力。
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