Algorithm 1.

Proposed Method

Require: Image sequence from single subject
Ensure: Predicted Myocardium masks across the sequence
1:	Calculate Optical Flow fp at each pixel p between pairs of frames (It, It+d)
2:	Generate YB and YF concatenating image intensities and motion information for each patch
3:	for C={B,F} do
4:	Intra-class Gram filtering using 1
5:	Learn dictionary and sparse feature matrix with the K-SVD algorithm $$\underset{D^C,X^C}{\text{minimize}}{\Vert Y^C-D^C{X}^C\Vert }_2^2\mathrm{s}.\mathrm{t}.{\Vert x_i^C\Vert }_0\le L$$
6:	Inter-class Gram filtering using 2
7:	end for
8:	Learn residuals RB and RF given Y, DB and DF with OMP algorithm
9:	Test on all residuals RB and RF for first classification
10:	Use MRF-based segmentation on the residuals RB and RF using Equation 3