Paper Info
Title
Low cost clutter filter for 3D ultrasonic flow estimation
Abstract
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.
Year
DOI
Venue
2015
10.1109/SiPS.2015.7344977
2015 IEEE Workshop on Signal Processing Systems (SiPS)
Keywords
Field
DocType
Hankel-SVD clutter filter,power iteration method,SVD calculations,flow estimation system,filtering methods,pipelined architecture,clutter removal performance,arterial flow,vessel wall,clutter signals,vascular diseases,medical ultrasound systems,3D blood velocity estimation,3D ultrasonic flow estimation
Ultrasonic sensor,Singular value decomposition,Computer vision,Overhead (computing),Computer science,Clutter,Filter (signal processing),Frame rate,Artificial intelligence,Power iteration,Computational complexity theory
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
7
Name
Order
Citations
PageRank
Siyuan Wei1305.91
Ming Yang2305.23
Richard Sampson3346.01
Oliver Kripfgans412.12
J. Brian Fowlkes5516.71
Thomas F. Wenisch62112105.25
Chaitali Chakrabarti71978184.17