Mri reconstruction with image domain optimization
AssigneeShanghai United Imaging Intelligence Co., LTD.
InventorsZhang Chen, Shanhui Sun, Xiao Chen, Terrence Chen
Life of this patent
Estimating the term…
Abstract
An apparatus for magnetic resonance imaging (MRI) image reconstruction is provided. The apparatus accesses a training set of MRI data for training. The training set can include paired fully sampled data or unpaired fully sampled data. Undersampled MRI data is optimized in an MRI data optimization module to generate reconstructed MRI data. The apparatus builds a discriminative model using the training set and the reconstructed MRI data. During inference, the parameters of the discriminator model are fixed and the discriminator model is used to classify an output of the MRI data optimization model as the reconstructed MRI image.
Claims20
An apparatus for reconstructing a magnetic resonance imaging (MRI) image, the apparatus comprising a processor and a memory storing executable instructions, that in response to execution by the processor, cause the apparatus to:
- access a training set of MRI data;
- build a discriminator model using the training set of MRI data, the discriminative model being trained to distinguish between fully sampled MRI data and optimized MRI data;
- and
- during inference, use the discriminator model to classify reconstructed MRI data from an output of an MRI data optimization model as the reconstructed MRI image.
A method for reconstructing a magnetic resonance imaging (MRI) image, the method comprising:
- accessing a training set of MRI data;
- building a discriminator model using the training set of MRI data, the discriminative model being trained to distinguish between fully sampled MRI data and optimized MRI data;
- and
- during inference, using the discriminator model to classify reconstructed MRI data from an output of an MRI data optimization model as the reconstructed MRI image.
Dependencies are inferred from the claim text.