公开(公告)号：US20230358835A1

公开(公告)日：2023-11-09

申请号：US18219678

申请日：2023-07-09

Applicant: ZHEJIANG LAB

Inventor： Jingsong LI ,  Ziyang CHEN ,  Wenyuan QIU ,  Qiqi TONG ,  Tianshu ZHOU

IPC: G01R33/56 ,  G06N3/0455 ,  G06N3/0464

CPC classification number: G01R33/5608 ,  G06N3/0455 ,  G06N3/0464

Abstract: The application discloses a variational autoencoder-based magnetic resonance weighted image synthesis method and device. The method includes the following steps: step S1: acquiring a multi-contrast real magnetic resonance weighted image and a magnetic resonance quantitative parametric image by using a magnetic resonance scanner; step S2: composing a magnetic resonance weighted image; step S3: constructing a pre-trained variational autoencoder model with an encoder-and-decoder structure; step S4: obtaining a variational autoencoder model; and step S5: synthesizing the magnetic resonance weighted image and the magnetic resonance quantitative parametric image into a second magnetic resonance weighted image by the variational auto-encoder model. In the application, the variational auto-encoder model is configured to obtain a proximate contrast information continuous distribution by training of the multi-contrast magnetic resonance weighted image, such that the variational autoencoder model involved in the application can be reconstructed to obtain magnetic resonance weighted images that are not present in training data.