Key result
Adaptive blind source separation suppresses wall motion better than traditional filters for lateral blood velocity measurement.
Population
Simulated data and clinical carotid artery data from healthy volunteers
Comparison
Adaptive clutter rejection via blind source… vs FIR, IIR, and polynomial regression clutter…
Design
Other
Authors
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May enable improved lateral velocity imaging in ultrasound; hypothesis-generating and requires prospective validation before clinical adoption.
Blind source separation provides an effective adaptive clutter filtering method for two-dimensional ultrasonic blood velocity measurement, overcoming limitations of traditional filters on short data ensembles.
Gallippi et al. (2002) studied Blood velocity measurement in the carotid artery. Adaptive clutter filtering via blind source separation (BSS) vs. FIR, IIR and polynomial regression clutter filters was evaluated on Clutter rejection and lateral blood flow signal preservation. Adaptive clutter filtering via blind source separation sufficiently suppressed wall motion signals for clinical lateral blood velocity measurement compared to traditional filters.
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