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Magnetic Resonance in Medicine
Article . 2004 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
MPG.PuRe
Article . 2004
Data sources: MPG.PuRe
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Field‐of‐view limitations in parallel imaging

Authors: Griswold, M.; Kannengiesser, S.; Heidemann, R.; Wang, J.; Jakob, P.;

Field‐of‐view limitations in parallel imaging

Abstract

AbstractParallel imaging is one of the most promising developments in recent years for the acceleration of MR acquisitions. One area of practical importance where different parallel imaging methods perform differently is the manner in which they deal with aliasing in the full‐FOV reconstructed image. It has been reported that sensitivity encoding (SENSE) reconstruction fails whenever the reconstructed FOV is smaller than the object being imaged. On the other hand, generalized autocalibrating partially parallel acquisition (GRAPPA) has been used successfully to reconstruct images with aliasing in the reconstructed FOV, as in conventional imaging. The disparate behavior of these methods can be easily demonstrated by a few simple illustrative examples. Additional in vivo examples using GRAPPA and modified SENSE (mSENSE) make this distinction clear. These experiments demonstrate that SENSE fails to reconstruct correct images when coil sensitivity maps are used that do not automatically account for the object size and therefore the aliasing in the reconstructed images. However, with the use of aliased high‐resolution coil sensitivity maps, accurate SENSE reconstructions can be generated. On the other hand, GRAPPA produces images with an aliasing appearance that is exactly as would be expected from normal nonaccelerated acquisitions. An understanding of these effects could potentially lead to fewer operator‐dependent errors, as well as a better understanding of the differences between the underlying reconstruction processes. Magn Reson Med 52:1118–1126, 2004. © 2004 Wiley‐Liss, Inc.

Related Organizations
Keywords

Phantoms, Imaging, Image Processing, Computer-Assisted, Computer Simulation, Models, Theoretical, Magnetic Resonance Imaging

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
89
Top 10%
Top 1%
Top 10%
bronze