公开(公告)号：WO2020123788A1

公开(公告)日：2020-06-18

申请号：PCT/US2019/065946

申请日：2019-12-12

Applicant: THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY

Inventor： XING, Lei ,  WU, Van

IPC: G01R33/20 ,  G01R33/48 ,  G01R33/50 ,  G06N3/02 ,  G06N3/08 ,  G06N20/00

Abstract: A method for quantitative magnetic resonance imaging (MRI) includes [800] performing an MRI scan using a conventional pulse sequence to obtain a qualitative MR image; and [802] applying the qualitative MR image as input to a deep convolutional neural network (CNN) to produce a quantitative magnetic resonance (MR) relaxation parametric map. The qualitative MR image is the only image input to the deep neural network to produce the quantitative MR relaxation parametric map. The conventional pulse sequence may be a Spoiled Gradient Echo sequence, a Fast Spin Echo sequence, a Steady-State Free Precession sequence, or other sequence that is commonly used in current clinical practice.