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NEURAL NETWORKS-ASSISTED CONTRAST ULTRASOUND IMAGING
专利权人:
The Board of Trustees of the Leland Stanford Junior University
发明人:
Jeremy J. Dahl,Dongwoon Hyun,Leandra L. Brickson
申请号:
US16539596
公开号:
US20200060652A1
申请日:
2019.08.13
申请国别(地区):
US
年份:
2020
代理人:
摘要:
A method of nondestructively detecting targeted contrast agents in real-time is provided that includes using a neural network (NN) beamformer, where an input of the NN includes ultrasound transducer channel data from a dual-frequency pulse-echo acquisition from a medium that may contain targeted contrast agents, where an output of the NN is an image of pixel-wise probability of the targeted contrast agent presence, where the NN nondestructively distinguishes the targeted contrast agent from tissue and noise by exploiting characteristic differences in responses of the targeted contrast agent versus responses from the tissue and noise present in the channel data of the dual-frequencies, where the NN is trained to operate according to destructive-subtraction ultrasound molecular imaging datasets that are used as a ground truth.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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