MRI Reconstruction C++ Demo¶
This demo demonstrates MRI reconstruction model described in https://arxiv.org/abs/1810.12473 and implemented in https://github.com/rmsouza01/Hybrid-CS-Model-MRI/. The model is used to restore undersampled MRI scans which is useful for data compression.
Refer to the tables Intel’s Pre-Trained Models Device Support and Public Pre-Trained Models Device Support for the details on models inference support at different devices.
Running the application with the -h option yields the following usage message:
$ ./mri_reconstruction_demo -h mri_reconstruction_demo [OPTION] Options: -h Print a usage message. -i "<path>" Required. Path to input .npy file with MRI scan data. -p "<path>" Required. Path to sampling mask in .npy format. -m "<path>" Required. Path to an .xml file with a trained model. -d "<device>" Optional. Specify the target device to infer on; CPU, GPU, HDDL or MYRIAD is acceptable (CPU by default). --no_show Optional. Disable results visualization.
To run the demo, you need to have
A sample scan from Calgary-Campinas Public Brain MR Dataset