Literature DB >> 15479997

Current concepts and advances in clinical parallel magnetic resonance imaging.

Roland Bammer1, Stefan O Schoenberg.   

Abstract

Parallel imaging (PI) is one of the most promising recent advances in MRI technology and has, similar to the introduction of multidetector helical scanning in CT, revolutionized MR imaging. The speed of all conventional MRI methods has been limited by either gradient strength or their switching times. The basic idea in PI is to use some of the spatial information contained in the individual elements of a radiofrequency (RF) receiver coil array to increase imaging speed. These PI techniques are removing some of the previous limitations in speed of MRI scanners and set the basis for accelerated image formation. Initially, PI was motivated by the wish to accelerate image acquisition without reducing the spatial resolution of the image. However, depending on the application, it turned out that PI harbors several other advantages. Among those is the possibility for higher spatial resolution, shorter breath-holds or multiple averaging to diminish motion artifacts, reduced image blurring and geometric distortions, better temporal resolution, and means for navigator correction. This overview focuses on technical aspects, clinical applications, and ongoing research in different areas of the human body. The critical review demonstrates PI's great versatility as well as the current trends to use this unique technique in the majority of clinical scan protocols.

Entities:  

Mesh:

Year:  2004        PMID: 15479997     DOI: 10.1097/01.rmr.0000139666.23921.27

Source DB:  PubMed          Journal:  Top Magn Reson Imaging        ISSN: 0899-3459


  19 in total

1.  Dual breath-hold magnetic resonance cine evaluation of global and regional cardiac function.

Authors:  Bernd J Wintersperger; Spencer Sincleair; Val M Runge; Olaf Dietrich; Armin Huber; Maximilian F Reiser; Stefan O Schoenberg
Journal:  Eur Radiol       Date:  2006-04-22       Impact factor: 5.315

2.  Role of diffusion-weighted magnetic resonance imaging in the diagnosis of extrahepatic cholangiocarcinoma.

Authors:  Xing-Yu Cui; Hong-Wei Chen
Journal:  World J Gastroenterol       Date:  2010-07-07       Impact factor: 5.742

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.  [Comparison of 2D and 3D sequences for MRCP. Clinical value of the different techniques].

Authors:  A M Wallnoefer; K A Herrmann; U Beuers; C J Zech; S Gourtsoyianni; M F Reiser; S O Schoenberg
Journal:  Radiologe       Date:  2005-11       Impact factor: 0.635

5.  Fast magnetic resonance imaging of the knee using a parallel acquisition technique (mSENSE): a prospective performance evaluation.

Authors:  Karl-Friedrich Kreitner; Bernd Romaneehsen; Frank Krummenauer; Katja Oberholzer; Lars Peter Müller; Christoph Düber
Journal:  Eur Radiol       Date:  2006-05-30       Impact factor: 5.315

6.  Comparison of generalized autocalibrating partially parallel acquisitions and modified sensitivity encoding for diffusion tensor imaging.

Authors:  Y A Bhagat; D J Emery; S Naik; T Yeo; C Beaulieu
Journal:  AJNR Am J Neuroradiol       Date:  2007-02       Impact factor: 3.825

Review 7.  Advances in magnetic resonance neuroimaging.

Authors:  Michael E Moseley; Chunlei Liu; Sandra Rodriguez; Thomas Brosnan
Journal:  Neurol Clin       Date:  2009-02       Impact factor: 3.806

8.  Improved self-calibrated spiral parallel imaging using JSENSE.

Authors:  Jinhua Sheng; Erik Wiener; Bo Liu; Fernando Boada; Leslie Ying
Journal:  Med Eng Phys       Date:  2008-11-21       Impact factor: 2.242

9.  A comparison of five standard methods for evaluating image intensity uniformity in partially parallel imaging MRI.

Authors:  Frank L Goerner; Timothy Duong; R Jason Stafford; Geoffrey D Clarke
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

Review 10.  MR imaging in ovarian cancer.

Authors:  S A A Sohaib; R H Reznek
Journal:  Cancer Imaging       Date:  2007-10-01       Impact factor: 3.909

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