Clinical MRS Data Processing Using KBDM

Fernando Fernandes Paiva¹, Alberto Tannus¹, Claudio Jose Magon¹

KBDM is a parametric non-linear method that can be applied for fitting and spectral analysis of experimentally measured transient time signals and is a promising tool that can provide complimentary information to the well-established FT techniques. In the present study we investigate the feasibility of clinical MRS data processing using KBDM, with special attention to important issues such as signal-to-noise ratio and baseline distortions. The accuracy of the method for spectral analysis for both simulated and in vivo data is reported.