@inproceedings{cbdc743f93cb469faac3cbc677803a87,
title = "Notice of Removal: Singular value decomposition-based noise equalization for ultrafast plane wave microvessel imaging",
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.",
author = "Pengfei Song and Armando Manduca and Trzasko, {Joshua D.} and Shigao Chen",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Ultrasonics Symposium, IUS 2017 ; Conference date: 06-09-2017 Through 09-09-2017",
year = "2017",
month = oct,
day = "31",
doi = "10.1109/ULTSYM.2017.8091722",
language = "English (US)",
series = "IEEE International Ultrasonics Symposium, IUS",
publisher = "IEEE Computer Society",
booktitle = "2017 IEEE International Ultrasonics Symposium, IUS 2017",
}