Reverse Monte Carlo as MRS quantitation quality assessment

0466413 - ÚPT 2017 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Jabłoński, Michal - Starčuková, Jana - Starčuk jr., Zenon
Reverse Monte Carlo as MRS quantitation quality assessment.
Magma. Vol. 29 S1. Berlin: Springer, 2016, S218-S219. E-ISSN 1352-8661.
[ESMRMB 2016 Congress. Vienna (AT), 29.09.2016-01.10.2016]
Grant CEP: GA MŠMT(CZ) LO1212; GA MŠMT ED0017/01/01
GRANT EU: European Commission EC 316679
Institucionální podpora: RVO:68081731
Klíčová slova: reverse Monte Carlo * MRS quantitation quality
Kód oboru RIV: BM - Fyzika pevných látek a magnetismus
http://link.springer.com/journal/10334/29/1/suppl/page/1

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.
Trvalý link: http://hdl.handle.net/11104/0264794