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ProFit revisited
Author(s) -
Fuchs Alexander,
Boesiger Peter,
Schulte Rolf F.,
Henning Anke
Publication year - 2014
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.24703
Subject(s) - deconvolution , computer science , profit (economics) , software package , baseline (sea) , software , data mining , biological system , algorithm , oceanography , programming language , economics , biology , microeconomics , geology
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. Magn Reson Med 71:458–468, 2014. © 2013 Wiley Periodicals, Inc.