Dany Merhej1,2, Helene Ratiney3, Chaouki Diab4, Mohamad Khalil2, Rmy Prost1
1CREATIS, CNRS UMR 5220, Inserm U1044, INSA-Lyon, Universit Lyon 1, Universit de Lyon, Lyon, France; 2EDST, Azm Research Center, Lebanese University, Tripoli, Lebanon; 3CREATIS, CNRS UMR 5220, Inserm U1044, INSA-Lyon, Universit Lyon 1, Universit de Lyon, Lyon, France; 4ISAE Cnam Liban, Beirut, Lebanon
A major drawback in application of magnetic resonance spectroscopic imaging is the long acquisition time required to gather necessary data to achieve satisfactory resolution. When the chemical shift spectrum is inherently sparse, i.e. with a limited support, it is possible to reconstruct this spectrum from a subset of the k-space samples, thus reducing the number of phase encoding steps and subsequently reducing acquisition time. In this case, our approach outperforms compressive sensing using L1-minimization. The proposed reconstruction technique is validated on simulated, in vitro and in vivo data.