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. Author manuscript; available in PMC: 2020 Sep 1.
Published in final edited form as: Conf Proc IEEE Eng Med Biol Soc. 2019 Jul;2019:4803–4806. doi: 10.1109/EMBC.2019.8856953

Table 1.

The COGNAC Algorithm

repeat
 1: Set the i-th target voxel as i = 1.
 2: Set appropriate initial values to vi, Ωr, λ, compute ψi, Λr using Eqs. (10), (11), and s¯i(tk) using Eq (5) for k = 1, … , K. repeat
  3: Update vi, Ωr, λ using Eqs. (8), (9), (13), (14).
  4: Update ψi, Λr, s¯i(tk) with the updated values of vi, Ωr, λ using Eqs. (10), (11), (5).
 until The cost function of Eq. (7) converges.
 5: Set the target voxel to the (i + 1)-th voxel.
until All voxels are scanned (i = N).