Literature DB >> 14745747

K-space in the clinic.

Cynthia B Paschal1, H Douglas Morris.   

Abstract

Magnetic resonance imaging (MRI) sequences are characterized by both radio frequency (RF) pulses and time-varying gradient magnetic fields. The RF pulses manipulate the alignment of the resonant nuclei and thereby generate a measurable signal. The gradient fields spatially encode the signals so that those arising from one location in an excited slice of tissue may be distinguished from those arising in another location. These signals are collected and mapped into an array called k-space that represents the spatial frequency content of the imaged object. Spatial frequencies indicate how rapidly an image feature changes over a given distance. It is the action of the gradient fields that determines where in the k-space array each data point is located, with the order in which k-space points are acquired being described by the k-space trajectory. How signals are mapped into k-space determines much of the spatial, temporal, and contrast resolution of the resulting images and scan duration. The objective of this article is to provide an understanding of k-space as is needed to better understand basic research in MRI and to make well-informed decisions about clinical protocols. Four major classes of trajectories-echo planar imaging (EPI), standard (non-EPI) rectilinear, radial, and spiral-are explained. Parallel imaging techniques SMASH (simultaneous acquisition of spatial harmonics) and SENSE (sensitivity encoding) are also described.

Mesh:

Year:  2004        PMID: 14745747     DOI: 10.1002/jmri.10451

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  23 in total

Review 1.  An illustrative review to understand and manage metal-induced artifacts in musculoskeletal MRI: a primer and updates.

Authors:  J P Dillenseger; S Molière; P Choquet; C Goetz; M Ehlinger; G Bierry
Journal:  Skeletal Radiol       Date:  2016-02-02       Impact factor: 2.199

2.  Three-dimensional dynamic magnetic resonance angiography for the evaluation of radiosurgically treated cerebral arteriovenous malformations.

Authors:  Jean-Yves Gauvrit; Catherine Oppenheim; Francois Nataf; Olivier Naggara; Denis Trystram; Thierry Munier; Daniel Fredy; Jean-Pierre Pruvo; François-Xavier Roux; Xavier Leclerc; Jean-François Meder
Journal:  Eur Radiol       Date:  2005-10-12       Impact factor: 5.315

3.  Advantages and pitfalls in 3T MR brain imaging: a pictorial review.

Authors:  Bernd L Schmitz; Andrik J Aschoff; Martin H K Hoffmann; Georg Grön
Journal:  AJNR Am J Neuroradiol       Date:  2005-10       Impact factor: 3.825

Review 4.  Whole-body MRI at high field: technical limits and clinical potential.

Authors:  Fritz Schick
Journal:  Eur Radiol       Date:  2005-01-27       Impact factor: 5.315

5.  Dynamic MRI of the TMJ under physical load.

Authors:  A J Hopfgartner; O Tymofiyeva; P Ehses; K Rottner; J Boldt; E-J Richter; P M Jakob
Journal:  Dentomaxillofac Radiol       Date:  2013-08-23       Impact factor: 2.419

Review 6.  Motion artifacts in MRI: A complex problem with many partial solutions.

Authors:  Maxim Zaitsev; Julian Maclaren; Michael Herbst
Journal:  J Magn Reson Imaging       Date:  2015-01-28       Impact factor: 4.813

Review 7.  Recent advances in parallel imaging for MRI.

Authors:  Jesse Hamilton; Dominique Franson; Nicole Seiberlich
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2017-05-02       Impact factor: 9.795

8.  Three-dimensional dynamic MR digital subtraction angiography using sensitivity encoding for the evaluation of intracranial arteriovenous malformations: a preliminary study.

Authors:  Jean-Yves Gauvrit; Xavier Leclerc; Catherine Oppenheim; Thierry Munier; Denis Trystram; Henda Rachdi; François Nataf; Jean-Pierre Pruvo; Jean-François Meder
Journal:  AJNR Am J Neuroradiol       Date:  2005 Jun-Jul       Impact factor: 3.825

9.  FRNET: FLATTENED RESIDUAL NETWORK FOR INFANT MRI SKULL STRIPPING.

Authors:  Qian Zhang; Li Wang; Xiaopeng Zong; Weili Lin; Gang Li; Dinggang Shen
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2019-07-11

Review 10.  Motion correction in MRI of the brain.

Authors:  F Godenschweger; U Kägebein; D Stucht; U Yarach; A Sciarra; R Yakupov; F Lüsebrink; P Schulze; O Speck
Journal:  Phys Med Biol       Date:  2016-02-11       Impact factor: 3.609

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