  In this paper we propose a deterministic approach for the reconstruction of
Dynamic Susceptibility Contrast magnetic resonance imaging data and compare it
with the compressed sensing solution existing in the literature for the same
problem. Our study is based on the mathematical analysis of the problem, which
is computationally intractable because of its non polynomial complexity, but
suggests simple heuristics that perform quite well. We give results on real
images and on artificial phantoms with added noise.
