Automating in vivo cardiac diffusion tensor postprocessing with deep learning-based segmentation.

The trained U-Net successfully automated the DT-CMR postprocessing, supporting real-time results and reducing human workload. The automatic segmentation of the heart improved image registration, resulting in improvements of the calculated DT parameters.