Spline baseline model flexibility independently affects the accuracy and precision of in vivo proton magnetic resonance spectral fitting in a metabolite-specific manner not visually predicted by fit residuals
In vivo proton magnetic resonance spectroscopy (1H-MRS) data often exhibit baselines or low-amplitude signal variations resulting from residual water, imperfectly suppressed lipids, low-amplitude metabolites not considered for fitting, and other features not represented in a basis set. While multitudinous approaches exist to model these baselines in 1H-MR spectral analysis, many continue to lack sIn vivo proton magnetic resonance spectroscopy (1H-MRS) data often exhibit baselines or low-amplitude signal variations resulting from residual water, imperfectly suppressed lipids, low-amplitude metabolites not considered for fitting, and other features not represented in a basis set. While multitudinous approaches exist to model these baselines in 1H-MR spectral analysis, many continue to lack s
