MRI Reconstruction Python* 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:
$ python3 mri_reconstruction_demo.py -h usage: mri_reconstruction_demo.py [-h] -i INPUT -p PATTERN -m MODEL [-d DEVICE] [--no_show] MRI reconstrution demo optional arguments: -h, --help show this help message and exit -i INPUT, --input INPUT Path to input .npy file with MRI scan data. -p PATTERN, --pattern PATTERN Path to sampling mask in .npy format. -m MODEL, --model MODEL Path to .xml file of OpenVINO IR. -d DEVICE, --device DEVICE Optional. Specify the target device to infer on; CPU or GPU is acceptable. Default value is CPU. --no_show Disable results visualization
To run the demo, you need to have
A sample scan from Calgary-Campinas Public Brain MR Dataset