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MRI reconstruction using deep learning, generative adversarial network and acquisition signal model
专利权人:
The Board of Trustees of the Leland Stanford Junior University
发明人:
Enhao Gong,Greg Zaharchuk,John M. Pauly,Morteza Mardani Korani
申请号:
US16427599
公开号:
US20190369191A1
申请日:
2019.05.31
申请国别(地区):
US
年份:
2019
代理人:
摘要:
A method for diagnostic imaging includes measuring undersampled data y with a diagnostic imaging apparatus; linearly transforming the undersampled data y to obtain an initial image estimate {tilde over (x)}; applying the initial image estimate {tilde over (x)} as input to a generator network to obtain an aliasing artifact-reduced image x̆; as output of the generator network, where the aliasing artifact-reduced image x̆; is a projection onto a manifold of realistic images of the initial image estimate {tilde over (x)}; and performing an acquisition signal model projection of the aliasing artifact-reduced x̆; onto a space of consistent images to obtain a reconstructed image {circumflex over (x)} having suppressed image artifacts.
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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