Jo Schlemper,Seyed Sadegh Moshen Salehi,Michal Sofka,Prantik Kundu,Carole Lazarus,Hadrien A. Dyvorne,Rafael O'Halloran,Laura Sacolick
申请号：
US16817370
公开号：
US20200289019A1
申请日:
2020.03.12
申请国别(地区):
US
年份:
2020
代理人:
摘要：
Techniques for generating magnetic resonance (MR) images of a subject from MR data obtained by a magnetic resonance imaging (MRI) system, the techniques include: obtaining input MR spatial frequency data obtained by imaging the subject using the MRI system； generating an MR image of the subject from the input MR spatial frequency data using a neural network model comprising: a pre-reconstruction neural network configured to process the input MR spatial frequency data； a reconstruction neural network configured to generate at least one initial image of the subject from output of the pre-reconstruction neural network； and a post-reconstruction neural network configured to generate the MR image of the subject from the at least one initial image of the subject.
