English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Book Chapter

Advanced Spectral Quantification: Parameter Handling, Nonparametric Pattern Modeling, and Multidimensional Fitting

MPS-Authors
/persons/resource/persons84402

Henning,  A
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society;

Locator

Link
(Any fulltext)

Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

Henning, A. (2016). Advanced Spectral Quantification: Parameter Handling, Nonparametric Pattern Modeling, and Multidimensional Fitting. In R. Wasylishen, & E. Becker (Eds.), eMagRes (pp. 981-994). Hoboken, NJ, USA: Wiley.


Cite as: http://hdl.handle.net/21.11116/0000-0000-7ABA-6
Abstract
This article reviews spectral fitting topics that go beyond the time- or frequency-domain fitting methods described in Quantifying spectra in the frequency domain and Time-Domain Methods for Quantifying MR Spectra. First, a detailed review on different approaches for nonparametric modeling of line-shape and baseline distortions as well as unknown spectral components by pattern fitting and principle component analysis, is provided. Next, spectral fitting approaches are extended to multidimensional spectroscopy data that result from two-dimensional MRS (magnetic resonance spectroscopy), spectroscopic imaging, dynamic parameter studies, and functional spectroscopy experiments. In addition, principal component analysis and Bayesian approaches to spectral fitting are introduced and compared to the more established least-squares optimization methods. Finally, validation methods for testing the accuracy and precision of spectral fitting and quantification algorithms are described.