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Method for Estimating Systematic Imperfections in Medical Imaging Systems with Deep Learning
专利权人:
The Board of Trustees of the Leland Stanford Junior University
发明人:
Feiyu Chen,Christopher Michael Sandino,Joseph Yitan Cheng,John M. Pauly,Shreyas S. Vasanawala
申请号:
US16824565
公开号:
US20200300957A1
申请日:
2020.03.19
申请国别(地区):
US
年份:
2020
代理人:
摘要:
A method for magnetic resonance imaging (MRI) includes steps of acquiring by an MRI scanner undersampled magnetic-field-gradient-encoded k-space data; performing a self-calibration of a magnetic-field-gradient-encoding point-spread function using a first neural network to estimate systematic waveform errors from the k-space data, and computing the magnetic-field-gradient-encoding point-spread function from the systematic waveform errors; reconstructing an image using a second neural network from the magnetic-field-gradient-encoding point-spread function and the k-space data.
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中国工程科技知识中心
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