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Proceedings Paper

Color flow image segmentation
Author(s): J. Zhang; W. Hu; Z. Wu
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Paper 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.

Paper Details

Date Published: 13 March 2009
PDF: 7 pages
Proc. SPIE 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, 72650V (13 March 2009); doi: 10.1117/12.811844
Show Author Affiliations
J. Zhang, Univ. of Wisconsin, Milwaukee (United States)
W. Hu, Univ. of Wisconsin, Milwaukee (United States)
Z. Wu, GE Healthcare (United States)


Published in SPIE Proceedings Vol. 7265:
Medical Imaging 2009: Ultrasonic Imaging and Signal Processing
Stephen A. McAleavey; Jan D'hooge, Editor(s)

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