Adaptive baseline fitting for 1H MR spectroscopy analysis

Research output: Contribution to journalArticlepeer-review

Authors

Abstract

Purpose: Accurate baseline modeling is essential for reliable MRS analysis and interpretation—particularly at short echo‐times, where enhanced metabolite information coincides with elevated baseline interference. The degree of baseline smoothness is a key analysis parameter for metabolite estimation, and in this study, a new method is presented to estimate its optimal value.

Methods: An adaptive baseline fitting algorithm (ABfit) is described, incorporating a spline basis into a frequency‐domain analysis model, with a penalty parameter to enforce baseline smoothness. A series of candidate analyses are performed over a range of smoothness penalties, as part of a 4‐stage algorithm, and the Akaike information criterion is used to estimate the appropriate penalty. ABfit is applied to a set of simulated spectra with differing baseline features and experimentally acquired 2D MRSI—both at a field strength of 3 Tesla.

Results: Simulated analyses demonstrate metabolite errors result from 2 main sources: bias from an inflexible baseline (underfitting) and increased variance from an overly flexible baseline (overfitting). In the case of an ideal flat baseline, ABfit is shown to correctly estimate a highly rigid baseline, and for more realistic spectra a reasonable compromise between bias and variance is found. Analysis of experimentally acquired data demonstrates good agreement with known correlations between metabolite ratios and the contributing volumes of gray and white matter tissue.

Conclusions: ABfit has been shown to perform accurate baseline estimation and is suitable for fully automated routine MRS analysis.

Details

Original languageEnglish
Pages (from-to)13-29
Number of pages17
JournalMagnetic Resonance in Medicine
Volume85
Issue number1
Early online date14 Aug 2020
Publication statusE-pub ahead of print - 14 Aug 2020

Keywords

  • ABfit, MRSI, automated, open-source, spectral analysis, spline