Yali Jia 1 , Ou Tan 1 , Jason Tokayer 2 , Benjamin Potsaid 3 , 4 , Yimin Wang 1 , Jonathan J. Liu 3 , Martin F. Kraus 3 , 5 , Hrebesh Subhash 1 , James G. Fujimoto 3 , Joachim Hornegger 5 , David Huang 1 , *
09 February 2012
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.