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Improved MRSI with field inhomogeneity compensation
Author(s) -
Ildar Khalidov,
Dimitri Van De Ville,
Mathews Jacob,
François Lazeyras,
Michaël Unser
Publication year - 2006
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.651868
Subject(s) - imaging phantom , scanner , iterative reconstruction , computer science , field (mathematics) , compensation (psychology) , algorithm , object (grammar) , computer vision , artificial intelligence , physics , mathematics , optics , psychology , psychoanalysis , pure mathematics
Magnetic resonance spectroscopy imaging (MRSI) is a promising and developing tool in medical imaging. Be- cause of various difficulties imposed by the imperfections of the scanner and the reconstruction algorithms, its applicability in clinical practice is rather limited. In this paper, we suggest an extension of the constrained reconstruction technique (SLIM). Our algorithm, named B-SLIM, takes into account the the measured field inho- mogeneity map, which contains both the scanner’s main field inhomogeneity and the object-dependent magnetic susceptibility effects. The method is implemented and tested both with synthetic and physical two-compartment phantom,data. The results demonstrate significant performance improvement over the SLIM technique. At the same time, the algorithm has the same computational complexity as SLIM.

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