Patent ID: 11915425
Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
Field: Medical technology (Instruments)
Classification: CPC G  A | IPC A  G

Claim 16:
17. The method of claim 11, wherein the generating a target neural network model by training the neural network model using the multiple PET images, the multiple MR images, and the multiple reference attenuation correction images in the multiple groups of the training data includes:
for one group of the multiple groups of training data,
inputting a PET image and an MR image in the group into the neural network model;
generating an estimated attenuation correction image by processing the PET image and the MR image by the neural network model;
determining a difference between the estimated attenuation correction image and a reference attenuation correction image in the group; and
generating the target neural network model by updating, based on the difference, the neural network model.