You Jiang, Li Ang, Du Congwu, Pan Yingtian
Department of Biomedical Engineering, Stony Brook University , Stony Brook, New York 11794, USA.
Appl Phys Lett. 2017 Jan 2;110(1):011102. doi: 10.1063/1.4973367. Epub 2017 Jan 3.
Ultrahigh-resolution optical coherence Doppler tomography (μODT) demonstrates great potential for quantitative blood flow imaging owing to its large field of view and capillary resolution. However, μODT only detects the axial flow velocity and requires Doppler angle correction to retrieve the absolute velocity. Although methods for Doppler angle tracking of single or few large vessels have been reported, a method that enables angle correction of the entire 3D microvascular networks remains a challenge. Here, we present a method based on eigenvalue analysis of 3D Hessian matrix to retrieve the orientation of each tubular vessel. As the algorithm is voxel based, it is suitable for effective tracking of Doppler angle matrix and restoring the absolute flow over the 3D vascular flow networks. We present results on simulation and flow phantom studies to show its efficacy for accurate 3D angle tracking and absolute flow correction. Then, we perform an validation study on mouse micro-circulatory cerebral blood flow (CBF) networks, which clearly demonstrates the capability of this method for tracking the Doppler angle matrix of the highly complex 3D CBF networks.
超高分辨率光学相干多普勒断层扫描（μODT）因其大视野和毛细血管分辨率，在定量血流成像方面显示出巨大潜力。然而，μODT仅检测轴向流速，需要进行多普勒角度校正以获取绝对速度。尽管已经报道了用于单个或少数大血管的多普勒角度跟踪方法，但能够对整个三维微血管网络进行角度校正的方法仍然是一个挑战。在此，我们提出一种基于三维黑塞矩阵特征值分析的方法来获取每个管状血管的方向。由于该算法基于体素，适用于有效跟踪多普勒角度矩阵并恢复三维血管流动网络上的绝对流量。我们展示了模拟和流模研究的结果，以表明其在精确三维角度跟踪和绝对流量校正方面的有效性。然后，我们对小鼠脑微循环血流（CBF）网络进行了验证研究，清楚地证明了该方法跟踪高度复杂的三维CBF网络多普勒角度矩阵的能力。
