Fitting interrelated datasets: metabolite diffusion and general lineshapes.

Adalid López, Víctor Javier; Döring, André; Kyathanahally, Sreenath Pruthviraj; Bolliger, Christine Sandra; Boesch, Christoph Hans; Kreis, Roland (2017). Fitting interrelated datasets: metabolite diffusion and general lineshapes. Magma, 30(5), pp. 429-448. Springer 10.1007/s10334-017-0618-z

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OBJECTIVE Simultaneous modeling of true 2-D spectroscopy data, or more generally, interrelated spectral datasets has been described previously and is useful for quantitative magnetic resonance spectroscopy applications. In this study, a combined method of reference-lineshape enhanced model fitting and two-dimensional prior-knowledge fitting for the case of diffusion weighted MR spectroscopy is presented. MATERIALS AND METHODS Time-dependent field distortions determined from a water reference are applied to the spectral bases used in linear-combination modeling of interrelated spectra. This was implemented together with a simultaneous spectral and diffusion model fitting in the previously described Fitting Tool for Arrays of Interrelated Datasets (FiTAID), where prior knowledge conditions and restraints can be enforced in two dimensions. RESULTS The benefit in terms of increased accuracy and precision of parameters is illustrated with examples from Monte Carlo simulations, in vitro and in vivo human brain scans for one- and two-dimensional datasets from 2-D separation, inversion recovery and diffusion-weighted spectroscopy (DWS). For DWS, it was found that acquisitions could be substantially shortened. CONCLUSION It is shown that inclusion of a measured lineshape into modeling of interrelated MR spectra is beneficial and can be combined also with simultaneous spectral and diffusion modeling.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology > DCR Magnetic Resonance Spectroscopy and Methodology (AMSM)
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR)
04 Faculty of Medicine > Other Institutions > Teaching Staff, Faculty of Medicine
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04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > Forschungsbereich Pavillon 52 > Abt. Magnetresonanz-Spektroskopie und Methodologie, AMSM

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Adalid López, Víctor Javier; Döring, André; Kyathanahally, Sreenath Pruthviraj; Boesch, Christoph Hans and Kreis, Roland

Subjects:

600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

ISSN:

1352-8661

Publisher:

Springer

Funders:

[4] Swiss National Science Foundation

Language:

English

Submitter:

Roland Kreis

Date Deposited:

11 Sep 2017 10:00

Last Modified:

09 May 2018 13:50

Publisher DOI:

10.1007/s10334-017-0618-z

PubMed ID:

28382555

Uncontrolled Keywords:

Diffusion Magnetic resonance spectroscopy Model fitting Quantification Signal processing

BORIS DOI:

10.7892/boris.101228

URI:

https://boris.unibe.ch/id/eprint/101228

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