Toward fully automatic estimation of  in Vivo   31 P spectra | Zendy

Burger Cyrill | Zendy; McKin Graeme | Zendy; Buchli Reto | Zendy; Boesiger Peter | Zendy

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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.

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