Semi-Parametric Estimation in Magnetic Resonance Spectroscopy: Automation of the Disentanglement Procedure

H. Rabeson (1) , H. Ratiney (1) , D. Van Ormondt , D. Graveron-Demilly (1)

1 CREATIS - Centre de Recherche et d'Application en Traitement de l'Image et du Signal

Semi-parametric disentanglement of parametric parts from non-parametric parts of a signal is a universal problem. This study concerns estimation of metabolite concentrations from in vivo Magnetic Resonance Spectroscopy (MRS) signals. Due to in vivo conditions, so-called macro- molecules contribute non-parametric components to the signals. Disentanglement is achieved by exploiting prior knowledge about the parametric and non-parametric parts directly in the measurement domain. Moreover, Cramer-Rao bounds on the non-parametric part are derived. These expressions are used to automate the disentanglement procedure.

Keywords: categₛt2i; Imagerie cérébrale; imagerie_RMNₒptique; Méthodes et systèmes en IRM et optique

Domains: Medical Imaging; Imaging

H. Rabeson, H. Ratiney, D. Van Ormondt, D. Graveron-Demilly. Semi-Parametric Estimation in Magnetic Resonance Spectroscopy: Automation of the Disentanglement Procedure. Proc. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS 2007, 2007, Unknown, Unknown Region. pp.662\textendash665, ⟨10.1109/IEMBS.2007.4352377⟩. ⟨hal-01879427⟩