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Quantitative volume angiograms of human retinal blood flow using histogram-based filtering

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Abstract

We present a method to separate blood flow information from static tissue in Doppler Fourier domain optical coherence tomograms (D-FDOCT). Histograms of the Doppler tomograms are used to differentiate between pixels containing information about blood flow and pixels representing static tissue. By setting pixels within a certain histogram range to 0 only the blood flow information remains. This approach is demonstrated on different retinal D-FDOCT volume scans taken with a high speed CMOS based FDOCT system. The advantage of the presented approach is the small post processing effort together with the direct availability of quantitative Doppler flow maps.

© 2009 OSA/SPIE

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