Improved data reconstruction method for GRAPPA Export

@article{grappa_mcmli, 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 (ky) neighboring points and column (kx) 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. {\copyright} 2005 Wiley-Liss, Inc.}, address = {Center for Functional Neuroimaging, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Neurology, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Radiology, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA}, author = {Wang, Ze and Wang, Jiongjiong and Detre, John A.}, citeulike-article-id = {3339383}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/mrm.20601}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/110577687/ABSTRACT}, doi = {10.1002/mrm.20601}, journal = {Magnetic Resonance in Medicine}, keywords = {grappa, pmri}, number = {3}, pages = {738--742}, posted-at = {2008-09-26 11:12:56}, priority = {0}, title = {Improved data reconstruction method for GRAPPA}, url = {http://dx.doi.org/10.1002/mrm.20601}, volume = {54}, year = {2005} }

TY - JOUR ID - grappa_mcmli L3 - citeulike-article-id:3339383 N2 - This paper presents an improved data reconstruction method for generalized autocalibrating partially parallel acquisitions (GRAPPA) using multicolumn multiline interpolation (MCMLI). Both nearest acquired line (ky) neighboring points and column (kx) 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. IS - 3 JF - Magnetic Resonance in Medicine AD - Center for Functional Neuroimaging, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Neurology, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Radiology, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA EP - 742 TI - Improved data reconstruction method for GRAPPA VL - 54 SP - 738 KW - grappa KW - pmri AU - Wang, Ze AU - Wang, Jiongjiong AU - Detre, John PY - 2005/// UR - http://dx.doi.org/10.1002/mrm.20601 ER -