A method for magnetic resonance imaging (MRI) tag tracking includes: synthetically generating tagged data from natural images combined with programmed tag motion and a full Bloch simulation; training a convolutional neural network (CNN) with the synthetically generated tagged data to generate grid tag motion paths; acquiring MRI images using a tagged imaging method; inputting the acquired images into the CNN to estimate motion paths of tracked points; and determining from the estimated motion paths a path of tag lines through the cardiac cycle from a set of tagged MRI images. The method can calculate strain curves from the estimated motion paths using Ecc derivation.
Synthetically Trained Neural Network for MRI Tag Tracking