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Intensity-based modified Doppler variance algorithm: application to phase instable and phase stable optical coherence tomography systems

机译:基于强度的改进多普勒方差算法:在相位不稳定和相位稳定的光学相干层析成像系统中的应用

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摘要

The traditional phase-resolved Doppler method demonstrates great success for in-vivo imaging of blood flow and blood vessels. However, the phase-resolved method always requires high phase stability of the system. In phase instable situations, the performance of the phase-resolved methods will be degraded. We propose a modified Doppler variance algorithm that is based on the intensity or amplitude value. Performances of the proposed algorithm are compared with traditional phase-resolved Doppler variance and color Doppler methods for both phase stable and phase instable systems. For the phase instable situation, the proposed algorithm demonstrates images without phase instability induced artifacts. In-vivo imaging of window-chamber hamster skin is demonstrated for phase instable situation with a spectrometer-based Fourier domain OCT system. A microelectromechanical systems >(MEMS) based swept source OCT (SSOCT) system is also used to demonstrate the performance of the proposed method in a phase instable situation. The phase stability of the SSOCT system is analyzed. In-vivo imaging of the blood vessel of human skin is demonstrated with the proposed method and the SSOCT system. For the phase stable situation, the proposed algorithm also demonstrates comparable performance with traditional phase-resolved methods. In-vivo imaging of the human choroidal blood vessel network is demonstrated with the proposed method under the phase stable situation. Depth-resolved fine choroidal blood vessel networks are shown.
机译:传统的相位分辨多普勒方法证明了体内血流和血管成像的巨大成功。但是,相位分辨方法始终要求系统具有较高的相位稳定性。在相不稳定的情况下,相分辨方法的性能将降低。我们提出了一种基于强度或幅度值的改进的多普勒方差算法。将该算法的性能与传统的相位分辨多普勒方差和彩色多普勒方法进行了比较,以解决相位稳定和相位不稳定的系统。对于相位不稳定的情况,提出的算法演示了没有相位不稳定引起的伪像的图像。通过基于光谱仪的傅里叶域OCT系统,证明了相室不稳定情况下窗室仓鼠皮肤的体内成像。基于微机电系统>( MEMS)的扫频源OCT(SSOCT)系统还用于证明该方法在相位不稳定的情况下的性能。分析了SSOCT系统的相位稳定性。用提出的方法和SSOCT系统证明了人体皮肤血管的体内成像。对于相位稳定的情况,所提出的算法还证明了与传统的相位分辨方法相当的性能。所提出的方法在相稳定情况下证明了人体脉络膜血管网络的体内成像。显示了深度分辨的细脉络膜血管网络。

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