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

Claim 6:
7. The system of claim 1, wherein to generate 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, the at least one processor is further configured to cause the system to:
for one group of the multiple groups of training data,
input a PET image and an MR image in the group into the neural network model;
generate an estimated attenuation correction image by processing the PET image and the MR image by the neural network model;
determine a difference between the estimated attenuation correction image and a reference attenuation correction image in the group; and
generate the target neural network model by updating, based on the difference, the neural network model.