Cardiac myofibrilles bundles in the human heart can be located by iteratively tracing the local water diffusion direction inferred from diffusion weighted MRI images. This well known process, called streamlining, needs to be initialized by a seed. In this paper, a global, graph modeling approach for cardiac myofibrille tractography is presented. Seed points are no longer needed : it predicts the fibers in one shot for the whole DT-MRI volume without initialization artifacts. The main merits of the presented methodology are its ability to give a unique estimation of the heart architecture (independent of seed initialization), the fact that it has no hyperparameters and that it provides an optimal balance between the density of fibers and the amount of available data.