ProFit revisited

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

doi:10.1002/mrm.24703

ProFit revisited

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

Research output: Contribution to journal › Article › peer-review

44 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	458-468
Number of pages	11
Journal	Magnetic resonance in medicine
Volume	71
Issue number	2
DOIs	https://doi.org/10.1002/mrm.24703
State	Published - Feb 2014
Externally published	Yes

Keywords

2D J-resolved spectroscopy
2D JPRESS
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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10.1002/mrm.24703

Cite this

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title = "ProFit revisited",

abstract = "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.",

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author = "Alexander Fuchs and Peter Boesiger and Schulte, {Rolf F.} and Anke Henning",

year = "2014",

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doi = "10.1002/mrm.24703",

language = "English (US)",

volume = "71",

pages = "458--468",

journal = "Magnetic resonance in medicine",

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T1 - ProFit revisited

AU - Fuchs, Alexander

AU - Boesiger, Peter

AU - Schulte, Rolf F.

AU - Henning, Anke

PY - 2014/2

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N2 - 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.

AB - 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.

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KW - self-deconvolution

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ProFit revisited

Abstract

Keywords

ASJC Scopus subject areas

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