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Toward fully automatic estimation of in Vivo 31 P spectra
Author(s) -
Burger Cyrill,
McKin Graeme,
Buchli Reto,
Boesiger Peter
Publication year - 1991
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.1910210206
Subject(s) - a priori and a posteriori , nonlinear system , estimation theory , algorithm , offset (computer science) , computer science , spectral line , set (abstract data type) , mathematics , physics , philosophy , epistemology , quantum mechanics , programming language , astronomy
Fitting a model to an experimental spectrum is a difficult nonlinear estimation problem. The solution presented here is to start an iterative search procedure sufficiently close to the optimal model parameter set. This is achieved by providing tissue‐dependent a priori peak information and by a novel correlation method to get good primary estimates of the resonance and phase offset parameters. The resulting estimation procedure is fully automatic and has proven to be robust for 31 P data. © 1991 Academic Press, Inc.