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.
Supported Models#
hybrid-cs-model-mri
NOTE: 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#
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 or GPU 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