公开(公告)号：US20240019515A1

公开(公告)日：2024-01-18

申请号：US18143920

申请日：2023-05-05

Applicant: Xiamen University

Inventor： Yuqing HUANG ,  Zhong CHEN ,  Yu YANG ,  Liubin WU ,  Bo CHEN

IPC: G01R33/46 ,  G01N24/08

CPC classification number: G01R33/4625 ,  G01N24/087 ,  G01R33/4633

Abstract: A method for processing two-dimensional (2D) nuclear magnetic resonance (NMR) Diffusion Ordered Spectroscopy (DOSY) based on deep learning comprises constructing a simulated dataset by generating simulated data using a mathematical model based on signal characteristics of the 2D NMR DOSY, generating labels for training a deep learning network model, wherein the labels comprise a first two-dimensional matrix, and two dimensions of the first two-dimensional matrix comprise chemical shift and diffusion coefficients, constructing the deep learning network model and setting training parameters of the deep learning network model, training the deep learning network model using the simulated dataset, and testing the deep learning network model.