ProFit revisited

Alexander Fuchs, Peter Boesiger, Rolf F. Schulte, Anke Henning

Research output: Contribution to journalArticlepeer-review

35 Scopus citations


Purpose An enhanced version of the ProFit fitting tool was developed and validated to improve the quantification of two-dimensional JRPESS spectroscopic data. Methods The proposed enhancements were achieved by flexible organization of prior knowledge, configurations for different situations, the inclusion of measured macromolecular baseline contribution, additional baseline splines and a model-free lineshape based on self-deconvolution. The new software was tested and tuned on simulated data and subsequently applied to in vivo intrasubject and intersubject data. Results Fit results of simulated and acquired spectra show good overall quality suggesting the potential reliable detection of up to 18 metabolites on a 3T system yielding Cramer-Lower-Bounds below 20%. Conclusion The proposed enhanced version of ProFit together with two-dimensional J-resolved spectroscopy offers the opportunity to reliably detect a wide selection of important brain metabolites on 3T.

Original languageEnglish (US)
Pages (from-to)458-468
Number of pages11
JournalMagnetic resonance in medicine
Issue number2
StatePublished - Feb 2014
Externally publishedYes


  • 2D J-resolved spectroscopy
  • 2D macromolecular baseline
  • ProFit
  • prior knowledge model fitting
  • self-deconvolution
  • spectral fitting

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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