Print Email Facebook Twitter Error-Bars in Semi-Parametric Estimation Title Error-Bars in Semi-Parametric Estimation Author Van Ormondt, D. Van der Veen, J.W.C. Sima, D.M. Graveron-Demilly, D. Faculty Applied Sciences Department ImPhys/Imaging Physics Abstract In in vivo metabolite-quantitation with a magnetic resonance spectroscopy (MRS) scanner, the model function of the attendant MRS signal is often only partly known. This unfavourable condition requires semi-parametric estimation. In the present study the unknown part is the form of the decay function of the MRS signal. The lack of knowledge is caused by micro-heterogeneity of the tissue hosting the metabolites. At high magnetic field, i.e., 10 Tesla, it seems reasonable to assume that the decay function, although unknown, is the same for each metabolite species. As reported in Proc. ProRISC 2012, this assumption enabled us to circumvent the often cumbersome search in function space, normally required in semi-parametric estimation. Our present paper focuses on interpreting the semiparametric error bar provided by some leading metabolite quantitation packages. This is done by means of Monte Carlo simulations. Subject metabolite-quantitationmicro-susceptibilitysignal-decay functionsemi-parametricerror bar To reference this document use: http://resolver.tudelft.nl/uuid:fa05ccbd-128c-4ef7-9ae6-5fa3816c899e ISBN 978-90-73461-84-0 Source ICT OPEN 2013, Eindhoven (The Netherlands) 27-28 Nov., 2013 Part of collection Institutional Repository Document type conference paper Rights (c)2013 The Authors Files PDF componentscircuits-paper- ... rmondt.pdf 336.55 KB Close viewer /islandora/object/uuid:fa05ccbd-128c-4ef7-9ae6-5fa3816c899e/datastream/OBJ/view