I wanted to ask if there is any quantifiable parameter to look at that relates to the spectra and baseline being so steep in the beginning.
I am attaching an example of one of our recordings showing this artifact.
We thought that maybe ph1 or ph0 could be related to this.
We checked other quality measures like S/N or the peak width, but they are not always related to this artifact.
From the literature, this might be related to a problem with the water suppression; is this correct?
Yeah, we don’t have metrics like this, but we’ve certainly been thinking about them. You can extract some metrics from the MRSCont.processed.metab{ii}.specs in the output container; something like the ratio of the maximum of the residual water peak to the maximum of the NAA peak. I’m sure this would be informative (although an entirely different task to make educated recommendations on what these metrics should be to indicate a good vs. a bad dataset). I’m remembering a nice paper that proposed a whole range of quantitative metrics for QC.
Thank you so much for your answer and the paper.
I am working with MRS under effects of anesthesia. Are you familiar with such a topic? Would it be possible to ask you some specific questions about our results? We are based in Munich, Germany, at the Technical University of Munich. This is the first time we collect MRS during anesthesia, and it would be really great if we could get your feedback.
Thank you very much in advance,
Juliana