This is a tool that automatically segments the aortic valve on phase contrast MRI. It is experimental and not intended for clinical use.
pytorch nibabel pynrrd
python train.py --datasource=*your_data_directory*
The model accepts input image volumes and segmentations in nifty and nrrd formats, respectively. The data directory must contain folders named 'train', 'test', and 'fakes', the latter being the output folder for automated segmentations. Naming conventions for input volume files are fairly strict, and must be of the form 'volume-*i*Mag.nii', where *i* is the index number of the volume. Similarly, segmentation files must be of the form 'segmentation-*i*AV.seg.nrrd'.