title: Automated phase correction via maximization of the real signal.
abstract: Due to improved quantification capabilities and enhanced signal-to-noise ratio (SNR), phase-corrected real reconstruction in magnetic resonance imaging is superior to the common magnitude reconstruction, especially at low SNR. This requires the development of an automated phase-correction algorithm. Existing methods are not well suited for multiple unconnected regions of very low SNR. For this situation, a method based on the real-signal maximization is implemented, in which the experimental image phase is approximated by a three-dimensional polynomial of up to third order. The presented implementation was successfully applied to data originating from different samples and pulse sequences.
authors.affiliation: Institut für Mechanische Verfahrenstechnik und Mechanik, Universität Karlsruhe (TH), 76128 Karlsruhe, Germany. edme.hardy@mvm.uni-karlsruhe.de
authors.forename: Edme H
authors.initials: EH
authors.lastname: Hardy
authors.forename: Jürgen
authors.initials: J
authors.lastname: Hoferer
authors.forename: Dirk
authors.initials: D
authors.lastname: Mertens
authors.forename: Gerhard
authors.initials: G
authors.lastname: Kasper