Abstract
Ultrafast plane wave microvessel imaging significantly improves ultrasound Doppler sensitivity. The rich spatiotemporal plane wave data enables robust clutter filtering based on singular value decomposition (SVD). However, due to the lack of transmit focusing, plane wave microvessel imaging is very susceptible to noise. The mid-to-deep region of the microvessel image is typically saturated by noise, hampering the visibility of microvessels. This study was designed to: 1) study the fundamental relationship between ultrasound system noise and microvessel signal; 2) propose an adaptive and computationally cost-effective noise equalization method derived from the SVD clutter filtering process to improve microvessel image quality.
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