Algorithm2: Tensor Based Adaptive DL for Dynamic CT Reconstruction
Input:	projection data f, regularization parameters λ1, λ2, β;
	patch size Ix×Iy×It and core tensor size R1×R2×R3 and other parameters.
Output:	reconstructed image sequences u
1:	Initializing matrices Dn (n = 1,2,3), u and b = 0, h = 0;
2:	While the stopping criteria are not satisfied do
3:	Constructing a dictionary Dn (n = 1,2,3) and coefficients g using the Algorithm 1;
4:	Updating b using Eq. (11);
5:	Representing u using Eq.(13);
6:	Updating h using Eq. (8);
7:	end while
8:	Return the final reconstruction u.