## 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
Zigzag sampling for improved parallel imaging
✍ Scribed by Felix A. Breuer; Hisamoto Moriguchi; Nicole Seiberlich; Martin Blaimer; Peter M. Jakob; Jeffrey L. Duerk; Mark A. Griswold
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 393 KB
- Volume
- 60
- Category
- Article
- ISSN
- 0740-3194
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✦ Synopsis
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 phase‐encoding directions. However, in this work an acquisition strategy is presented that takes advantage of sensitivity variations in the readout direction, thus improving the parallel imaging reconstruction process. This is achieved by employing rapidly oscillating phase‐encoding gradients during the actual readout. The benefit of this approach is demonstrated in vivo using various zigzag‐shaped gradient trajectory designs. It is shown that zigzag type sampling, in analogy to CAIPIRINHA, modifies the appearance of aliasing in 2D and 3D imaging, thereby utilizing additional sensitivity variations in the readout direction directly resulting in improved parallel imaging reconstruction performance. Magn Reson Med 60:474–478, 2008. © 2008 Wiley‐Liss, Inc.
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