  In our comprehensive experiments and evaluations, we show that it is possible
to generate multiple contrast (even all synthetically) and use synthetically
generated images to train an image segmentation engine. We showed promising
segmentation results tested on real multi-contrast MRI scans when delineating
muscle, fat, bone and bone marrow, all trained on synthetic images. Based on
synthetic image training, our segmentation results were as high as 93.91\%,
94.11\%, 91.63\%, 95.33\%, for muscle, fat, bone, and bone marrow delineation,
respectively. Results were not significantly different from the ones obtained
when real images were used for segmentation training: 94.68\%, 94.67\%,
95.91\%, and 96.82\%, respectively.
