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.

Citation Download Citation

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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