13 March 2009 Color flow image segmentation
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In color flow imaging (CFI), blood flow is estimated from a sequence of 8 to 32 temporal samples using Doppler effects. Most existing techniques are local in that the flow at a spatial location is estimated using its own and, possibly, neighboring temporal samples. As a result, the estimates can often be severely affected by background clutter (e.g., tissue and tissue motion), leading to fragmented/spotty color flow. In this work, we developed a more global technique that segments the temporal samples into connected and smooth spatial regions of blood flow and tissue, thereby improving flow visualization and potentially, flow estimates.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Zhang, J. Zhang, W. Hu, W. Hu, Z. Wu, Z. Wu, } "Color flow image segmentation", Proc. SPIE 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, 72650V (13 March 2009); doi: 10.1117/12.811844; https://doi.org/10.1117/12.811844

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