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

Christoph Kolbitsch; Tilman Schmoll; Rainer A. Leitgeb

doi:10.1117/12.831810

13 July 2009 Quantitative volume angiograms of human retinal blood flow using histogram-based filtering

Christoph Kolbitsch, Tilman Schmoll, Rainer A. Leitgeb

Proceedings Volume 7372, Optical Coherence Tomography and Coherence Techniques IV; 73721X (2009) https://doi.org/10.1117/12.831810
Event: European Conferences on Biomedical Optics, 2009, Munich, Germany

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.

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Christoph Kolbitsch, Tilman Schmoll, and Rainer A. Leitgeb "Quantitative volume angiograms of human retinal blood flow using histogram-based filtering", Proc. SPIE 7372, Optical Coherence Tomography and Coherence Techniques IV, 73721X (13 July 2009); https://doi.org/10.1117/12.831810

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KEYWORDS

Doppler effect

Blood circulation

Signal to noise ratio

Angiography

Gaussian filters

Tissues

Digital filtering

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