Color flow image segmentation

J. Zhang; W. Hu; Z. Wu

doi:10.1117/12.811844

13 March 2009 Color flow image segmentation

J. Zhang, W. Hu, Z. Wu

Proceedings Volume 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing; 72650V (2009) https://doi.org/10.1117/12.811844
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

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.

Citation Download Citation

J. Zhang, W. Hu, and Z. Wu "Color flow image segmentation", Proc. SPIE 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, 72650V (13 March 2009); https://doi.org/10.1117/12.811844

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