Dynamic magnetic resonance spectroscopy acquires multiple spectra under changing experimental conditions. Examples include editing, functional MRS, and diffusion weighted MRS. In this work we introduce a new tool that allows direct fitting of a dynamic signal model to multiple spectra simultaneously. Incorporation of a dynamic model into multi-spectra fitting reduces the number of parameters to be estimated from noisy data, reducing overall uncertainty.
The tool is demonstrated on simulated and multi-subject in vivo datasets, highlighting the high flexibility of the tool, which is open source and available as part of the FSL-MRS toolbox.