Split-spectrum amplitude-decorrelation angiography with optical coherence tomography.
Split-spectrum amplitude-decorrelation angiography with optical coherence tomography.
复制标题
DOI：
10.1364/oe.20.004710
复制
发表时间：
2012-02-13
期刊：
影响因子：
3.8
通讯作者：
Huang D
中科院分区：
文献类型：
--
作者：
Jia Y;Tan O;Tokayer J;Potsaid B;Wang Y;Liu JJ;Kraus MF;Subhash H;Fujimoto JG;Hornegger J;Huang D
与多普勒和其他基于相位的方法相比，幅度去相关测量对横向流敏感并且不受相位噪声的影响。然而，OCT的高轴向分辨率使其对轴向方向上的脉动体运动噪声非常敏感。为了克服这一局限性，我们开发了分裂频谱幅度去相关血管造影（SSADA），以提高信号噪声比（SNR）的流量检测。完整的OCT光谱被分成几个较窄的频带。B扫描间去相关分别使用谱带计算，然后平均。SSADA算法在人体黄斑和视神经乳头的活体图像上进行了测试。与其他幅度去相关算法相比，该算法显著提高了血流检测的信噪比和微血管网络的连通性。
Amplitude decorrelation measurement is sensitive to transverse flow and immune to phase noise in comparison to Doppler and other phase-based approaches. However, the high axial resolution of OCT makes it very sensitive to the pulsatile bulk motion noise in the axial direction. To overcome this limitation, we developed split-spectrum amplitude-decorrelation angiography (SSADA) to improve the signal-to-noise ratio (SNR) of flow detection. The full OCT spectrum was split into several narrower bands. Inter-B-scan decorrelation was computed using the spectral bands separately and then averaged. The SSADA algorithm was tested on in vivo images of the human macula and optic nerve head. It significantly improved both SNR for flow detection and connectivity of microvascular network when compared to other amplitude-decorrelation algorithms.