TY - GEN
T1 - Low cost clutter filter for 3D ultrasonic flow estimation
AU - Wei, Siyuan
AU - Yang, Ming
AU - Sampson, Richard
AU - Kripfgans, Oliver D.
AU - Fowlkes, J. Brian
AU - Wenisch, Thomas F.
AU - Chakrabarti, Chaitali
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/2
Y1 - 2015/12/2
N2 - 3D blood velocity estimation in medical ultrasound systems is revolutionizing the diagnosis of vascular diseases. However, the accuracy of blood velocity estimation is greatly affected by clutter signals from the vessel wall and the tissues surrounding the vessel. Filters used today to remove clutter are computationally expensive, limiting their practicality in portable 3D systems. In this paper, we present clutter filters for arterial flow that reduce computational complexity by orders of magnitude while maintaining the clutter removal performance of existing techniques. We achieve this goal by combining the existing Hankel-SVD clutter filter with the power iteration method to eliminate unnecessary SVD calculations. For the filters which use power iteration exclusively, we achieve excellent filtering performance with only 14.2% computational overhead to our previous flow estimation system. With these filtering methods, our pipelined architecture can compute velocity fields at a rate of 85 frames per second.
AB - 3D blood velocity estimation in medical ultrasound systems is revolutionizing the diagnosis of vascular diseases. However, the accuracy of blood velocity estimation is greatly affected by clutter signals from the vessel wall and the tissues surrounding the vessel. Filters used today to remove clutter are computationally expensive, limiting their practicality in portable 3D systems. In this paper, we present clutter filters for arterial flow that reduce computational complexity by orders of magnitude while maintaining the clutter removal performance of existing techniques. We achieve this goal by combining the existing Hankel-SVD clutter filter with the power iteration method to eliminate unnecessary SVD calculations. For the filters which use power iteration exclusively, we achieve excellent filtering performance with only 14.2% computational overhead to our previous flow estimation system. With these filtering methods, our pipelined architecture can compute velocity fields at a rate of 85 frames per second.
UR - http://www.scopus.com/inward/record.url?scp=84958191360&partnerID=8YFLogxK
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U2 - 10.1109/SiPS.2015.7344977
DO - 10.1109/SiPS.2015.7344977
M3 - Conference contribution
AN - SCOPUS:84958191360
T3 - IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
BT - Electronic Proceedings of the 2015 IEEE International Workshop on Signal Processing Systems, SiPS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Workshop on Signal Processing Systems, SiPS 2015
Y2 - 14 October 2015 through 16 October 2015
ER -