Literature DB >> 29537305

Practical implications of motion correction with motion insensitive radial k-space acquisitions in MRI.

Mustafa M Almuqbel1,2,3, Gareth Leeper3, David N Palmer4,5, Nadia L Mitchell5,6, Katharina N Russell5,7, Ross J Keenan1,2,3, Tracy R Melzer1,2,8.   

Abstract

OBJECTIVE: To highlight specific instances when radial k-space acquisitions in MRI result in image artifacts and how to ameliorate such artifacts.
METHODS: We acquired axial T2 weighted MR images on (1) the American College of Radiology (ACR) phantom and (2) a sedated sheep with rectilinear and multiblade radial k-space filling acquisitions. Images were acquired on four (2 × 1.5T and 2 × 3T) different MRI scanners. For the radial k-space acquisitions, we acquired images with and without motion correction. All images were visually inspected for the presence of artifact.
RESULTS: Images collected via the conventional rectilinear method were of diagnostic quality and free of artifact. Both ACR and sheep images acquired with radial k-space acquisitions and motion correction suffered significant artifact at different slice locations, scan sessions and across all the four scanners. Severity of the artifact was associated with echo train length. However, the artifact was eliminated when motion correction was not employed.
CONCLUSION: When little to no motion is present, the use of motion correction with radial k-space acquisitions can compromise image quality. However, image quality is quickly improved, and the artifact eliminated, by repeating the scan without motion correction or by using a conventional rectilinear alternative. Advances in Knowledge: By improving awareness and understanding of this artifact, MRI users will be able to adjust MRI protocols, resulting in more successful scanning sessions, better image quality, fewer call backs and increased diagnostic confidence.

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Year:  2018        PMID: 29537305      PMCID: PMC6221774          DOI: 10.1259/bjr.20170593

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  7 in total

1.  Resampling of data between arbitrary grids using convolution interpolation.

Authors:  V Rasche; R Proksa; R Sinkus; P Börnert; H Eggers
Journal:  IEEE Trans Med Imaging       Date:  1999-05       Impact factor: 10.048

2.  Motion correction with PROPELLER MRI: application to head motion and free-breathing cardiac imaging.

Authors:  J G Pipe
Journal:  Magn Reson Med       Date:  1999-11       Impact factor: 4.668

3.  Brain magnetic resonance imaging at 3 Tesla using BLADE compared with standard rectilinear data sampling.

Authors:  Bernd J Wintersperger; Val M Runge; Jonmenjoy Biswas; C Brett Nelson; Alto Stemmer; Alexander B Simonetta; Maximilian F Reiser; L G Naul; Stefan O Schoenberg
Journal:  Invest Radiol       Date:  2006-07       Impact factor: 6.016

4.  MRI artifact reduction and quality improvement in the upper abdomen with PROPELLER and prospective acquisition correction (PACE) technique.

Authors:  Yuusuke Hirokawa; Hiroyoshi Isoda; Yoji S Maetani; Shigeki Arizono; Kotaro Shimada; Kaori Togashi
Journal:  AJR Am J Roentgenol       Date:  2008-10       Impact factor: 3.959

Review 5.  An image-based approach to understanding the physics of MR artifacts.

Authors:  John N Morelli; Val M Runge; Fei Ai; Ulrike Attenberger; Lan Vu; Stuart H Schmeets; Wolfgang R Nitz; John E Kirsch
Journal:  Radiographics       Date:  2011 May-Jun       Impact factor: 5.333

6.  Improvement of image quality using BLADE sequences in brain MR imaging.

Authors:  Eleftherios Lavdas; Panayiotis Mavroidis; Spiros Kostopoulos; Dimitrios Glotsos; Violeta Roka; Theofilos Topalzikis; Athanasios Bakas; Georgia Oikonomou; Nikos Papanikolaou; Georgios Batsikas; Ioannis Kaffes; Dimitrios Kechagias
Journal:  Magn Reson Imaging       Date:  2012-09-07       Impact factor: 2.546

7.  PROPELLER technique to improve image quality of MRI of the shoulder.

Authors:  Tobias J Dietrich; Erika J Ulbrich; Marco Zanetti; Sandro F Fucentese; Christian W A Pfirrmann
Journal:  AJR Am J Roentgenol       Date:  2011-12       Impact factor: 3.959

  7 in total

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