Model order selection for quantification of a multi-exponential magnetic resonance spectrum.
Magnetic resonance spectroscopic signals analyzed by time-domain models in order to retrieve estimates of the model parameters usually require prior knowledge about the model order. For multi-exponential signals where a superposition of peaks occurs at the same resonance frequency, but with different damping values, model order selection criteria from information theory can be used. In this study, several generalized versions of information criteria are compared using Monte-Carlo simulation signals. The best criterion is further applied for selecting the model order of experimental glycogen signals.
Devos
A
A
Department of Electrical Engineering, SCD-SISTA, Katholieke University, Kasteelpark Arenberg 10, 3001 Heverlee, Leuven, Belgium.
Bergans
N
N
Dresselaers
T
T
De Brabanter
J
J
Sima
D M
DM
Vanhamme
L
L
Vanstapel
F
F
Van Hecke
P
P
Van Huffel
S
S
D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D005947:Glucose / Q000378:metabolism*; D006003:Glycogen / Q000378:metabolism*; D008099:Liver / Q000378:metabolism*; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008657:Metabolic Clearance Rate; D008954:Models, Biological; D051381:Rats; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
D006003:Glycogen; D005947:Glucose