BIG > Algorithms > Automated Blood Flow Monitoring from Color Flow Doppler Vectorization |
We are seeking to develop this solution further, as we feel it has potential for continuous monitoring applications.
We would be happy to discuss potential applications and technology transfers with any interested institution or company.
Please contact Dr. Raoul Schorer for inquiries.
Left: video stream of the Color Flow Doppler. Right: Segmentation of the vessel on interlaced frames. Bottom: Measured flow in real-time |
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An ongoing issue in vascular medicine is the measure of the blood flow. Catheterization remains the gold standard measurement method, although non-invasive techniques are an area of intense research. We hereby present an computational method for real-time measurement of the blood flow from color flow Doppler data, with a focus on simplicity and monitoring instead of diagnostics. We then analyze the performance of a proof-of-principle software implementation.
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R. Schorer, A. Badoual, B. Bastide, A. Vandebrouck, M. Licker, D. Sage, "A Feasability Study of Color Flow Doppler Vectorization for Automated Blood Flow Monitoring," Journal of Clinical Monitoring and Computing, in press, 2016.
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We provide here the Java code for the demonstrator of the blood flow measurement from the video of Color Doppler Flow. It is enough fast to run in real-time.
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