๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Iterative GRAPPA (iGRAPPA) for improved parallel imaging reconstruction

โœ Scribed by Tiejun Zhao; Xiaoping Hu


Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
308 KB
Volume
59
Category
Article
ISSN
0740-3194

No coin nor oath required. For personal study only.

โœฆ Synopsis


Abstract

In this work an iterative reconstruction method based on generalized autocalibrating partially parallel acquisitions (GRAPPA) reconstruction is introduced. In the new method the reconstructed lines are used to reestimate and refine the weights from all the acquired data by applying the GRAPPA procedure iteratively with regularization. Both phantom and in vivo MRI experiments demonstrated that, compared to GRAPPA, the iterative approach reduces parallel imaging artifacts and permits highโ€quality image reconstruction with a relatively small number of calibration lines and slight changes of GRAPPA weights. Magn Reson Med 59:903โ€“907, 2008. ยฉ 2008 Wileyโ€Liss, Inc.


๐Ÿ“œ SIMILAR VOLUMES


IIR GRAPPA for parallel MR image reconst
โœ Zhaolin Chen; Jingxin Zhang; Ran Yang; Peter Kellman; Leigh A. Johnston; Gary F. ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 331 KB

## Abstract Accelerated parallel MRI has advantage in imaging speed, and its image quality has been improved continuously in recent years. This paper introduces a twoโ€dimensional infinite impulse response model of inverse filter to replace the finite impulse response model currently used in general

Improved data reconstruction method for
โœ Ze Wang; Jiongjiong Wang; John A. Detre ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 486 KB

## 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 point

Using GRAPPA to improve autocalibrated c
โœ W. Scott Hoge; Dana H. Brooks ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 488 KB

## Abstract Two strategies are widely used in parallel MRI to reconstruct subsampled multicoil image data. SENSE and related methods employ explicit receiver coil spatial response estimates to reconstruct an image. In contrast, coilโ€byโ€coil methods such as GRAPPA leverage correlations among the acq

Rapid iterative reconstruction for echo
โœ David L. Foxall; Paul R. Harvey; Jian Huang ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 197 KB

A rapid automated method for reconstructing echo planar imaging (EPI) data has been developed and is shown to improve image quality by suppressing the troublesome ghost artifact. The algorithm can be applied without prior knowledge obtained from either reference scans or operator intervention. It fi

Zigzag sampling for improved parallel im
โœ Felix A. Breuer; Hisamoto Moriguchi; Nicole Seiberlich; Martin Blaimer; Peter M. ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 393 KB

## Abstract Conventional Cartesian parallel MRI methods are limited to the sensitivity variations provided by the underlying receiver coil array in the dimension in which the data reduction is carried out, namely, the phaseโ€encoding directions. However, in this work an acquisition strategy is prese