Original title: Reverse Monte Carlo as MRS quantitation quality assessment
Authors: Jabłoński, Michal ; Starčuková, Jana ; Starčuk jr., Zenon
Document type: Papers
Conference/Event: ESMRMB 2016 Congress, Vienna (AT), 20160929
Year: 2016
Language: eng
Abstract: Data analysis of Magnetic Resonance Spectroscopy (MRS) using quantitation algorithms, such as AQSES, QUEST, AMARES or LCModel produces estimates of relative metabolite concentrations and their precision, estimated as the Cramer Rao Lower Bounds (CRLB). This assessment does not guarantee the uniqueness of the fit, and thus is not a true representation of the concentration uncertainty. In this publication authors propose to verify the quality of fitting by Reverse Monte Carlo method, which is independent of the estimator and has weaker requirements on the solution and model accuracy.
Keywords: MRS quantitation quality; reverse Monte Carlo
Project no.: EC 316679, LO1212 (CEP), ED0017/01/01
Funding provider: GA MŠk, GA MŠk
Host item entry: Magma
Note: Související webová stránka: http://link.springer.com/journal/10334/29/1/suppl/page/1

Institution: Institute of Scientific Instruments AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0264794

Permalink: http://www.nusl.cz/ntk/nusl-373340


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