Split-spectrum amplitude-decorrelation angiography with optical coherence tomography

By Yali Jia, O. Tan, J. Tokayer, B. Potsaid, Yimin Wang, J. Liu, Martin F. Kraus, H. Subhash, James G. Fujimoto, Joachim Hornegger and 1 more. Optics Express, 2012

1,718 citations recorded by the source corpus.

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.

Subfields: Biomedical Engineering, Ophthalmology, Surgery

View Paper: https://www.semanticscholar.org/paper/0bd82721a14bd7c93c13e05fc8fcfbb9324c729b

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Citations in the corpus

Optical coherence tomography angiography (2017, methodology): “In 2012, split spectrum amplitude decorrelation (SSADA) was demonstrated to improve signal to noise and reduce sensitivity to bulk eye motion (Jia et al., 2012b).”
Quantitative optical coherence tomography angiography of vascular abnormalities in the living human eye (2015, methodology): “The SSADA algorithm was used to distinguish blood flow from static tissue as described in detail in a previous publication (14).”