Patent ID: 11510574

Abstract:
A three-dimensional (3D) optical coherence tomography angiography (OCTA) method and system based on feature space is provided. OCT signals of scattering samples in a 3D space are acquired by a collector; a theoretical classifier, local signal-noise ratios (SNRs) and decorrelation coefficients of the OCT scattering signals are combined to establish a two-dimensional (2D) feature space to realize classification of dynamic blood flow signals and static tissues. Specifically, computational analysis of first-order and zero-order autocovariance is used to obtain two features of SNR and decorrelation of each OCT scattering signal; a 2D inverse SNR (iSNR)-decorrelation feature (ID) space is established; and based on the multivariate time series theory, a linear classifier is established in the ID space to remove a static surrounding tissue background. The 3D OCTA method and system can improve the contrast of blood flow images and-improve the accuracy of blood flow quantification.