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

Claim 10:
11. A method implemented on a computing device, the computing device including at least one processor and at least one storage device, the method comprising:
obtaining multiple groups of training data, each of the multiple groups of training data including a positron emission tomography (PET) image of a sample, a magnetic resonance (MR) image of the sample, and a reference attenuation correction image corresponding to the PET image and the MR image;
obtaining a neural network model;
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, wherein the target neural network model provides a mapping relationship between the multiple PET images, the multiple MR images, and the multiple reference attenuation correction images.