Cristina Cudalbu1, Bernard Lanz2,
Joao M. Duarte2, Nicolas Kunz2, Rolf Gruetter2,3
1Laboratory for Functional
& Metabolic Imaging (LIFMET), Ecole Polytechnique Fdrale de Lausanne
(EPFL) , Lausanne, Switzerland; 2Laboratory for Functional &
Metabolic Imaging (LIFMET), Ecole Polytechnique Fdrale de Lausanne (EPFL),
Lausanne, Switzerland; 3Departments of Radiology, Universities of
Lausanne and Geneva, Geneva, Switzerland
In the present study we assess the impact of the prior knowledge on the quantification of in vivo 13C spectra using two different algorithms: LCModel and AMARES combined with 4 different approaches to handle the prior knowledge. The results obtained with AMARES were identical with those obtained with LCModel if improved prior knowledge is used. We can conclude that additional prior knowledge used in AMARES leads to a more accurate and reliable quantification of in vivo 13C spectra. In contrast, when limited prior knowledge is used the results obtained with AMARES are over/underestimated.