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Improved data reconstruction method for GRAPPA
Author(s) -
Wang Ze,
Wang Jiongjiong,
Detre John A.
Publication year - 2005
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.20601
Subject(s) - interpolation (computer graphics) , computer science , acceleration , line (geometry) , algorithm , artificial intelligence , mathematics , image (mathematics) , physics , geometry , classical mechanics
Abstract This paper presents an improved data reconstruction method for generalized autocalibrating partially parallel acquisitions (GRAPPA) using multicolumn multiline interpolation (MCMLI). Both nearest acquired line ( k y ) neighboring points and column ( k x ) neighboring points from all components of an array coil were used to reconstruct each missing datum through interpolation. A new fitting scheme was designed to estimate the interpolation weights. Both simulations and in vivo experiments demonstrated that the proposed method yields higher‐quality data reconstruction than the original GRAPPA method, especially with high acceleration factors. Magn Reson Med, 2005. © 2005 Wiley‐Liss, Inc.