A new high resolution color flow system using an eigendecomposition-based adaptive filter for clutter rejection.
We present a new signal processing strategy for high frequency color flow mapping in moving tissue environments. A new application of an eigendecomposition-based clutter rejection filter is presented with modifications to deal with high blood-to-clutter ratios (BCR). Additionally, a new method for correcting blood velocity estimates with an estimated tissue motion profile is detailed. The performance of the clutter filter and velocity estimation strategies is quantified using a new swept-scan signal model. In vivo color flow images are presented to illustrate the potential of the system for mapping blood flow in the microcirculation with external tissue motion.
Kruse
Dustin E
DE
Department of Biomedical Engineering, University of California, Davis 95616-5294, USA. dekruse@ucdavis.edu
Ferrara
Katherine W
KW
D000465:Algorithms; D001783:Blood Flow Velocity; D003198:Computer Simulation; D003238:Connective Tissue / Q000502:physiology; D005385:Fingers / Q000098:blood supply / Q000000981:diagnostic imaging / Q000502:physiology; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D008833:Microcirculation / Q000000981:diagnostic imaging / Q000502:physiology; D008954:Models, Biological; D015233:Models, Statistical; D009068:Movement / Q000502:physiology; D019047:Phantoms, Imaging; D012815:Signal Processing, Computer-Assisted; D013223:Statistics as Topic; D013269:Stochastic Processes; D018615:Ultrasonography, Doppler, Color / Q000379:methods*