Literature DB >> 22760728

Adaptive retrospective correction of motion artifacts in cranial MRI with multicoil three-dimensional radial acquisitions.

Ashley G Anderson1, Julia Velikina, Walter Block, Oliver Wieben, Alexey Samsonov.   

Abstract

Despite reduction in imaging times through improved hardware and rapid acquisition schemes, motion artifacts can compromise image quality in magnetic resonance imaging, especially in three-dimensional imaging with its prolonged scan durations. Direct extension of most state-of-the-art two-dimensional rigid body motion compensation techniques to the three-dimensional case is often challenging or impractical due to a significant increase in sampling requirements. This article introduces a novel motion correction technique that is capable of restoring image quality in motion corrupted two-dimensional and three-dimensional radial acquisitions without a priori assumptions about when motion occurs. The navigating properties of radial acquisitions-corroborated by multiple receiver coils-are exploited to detect actual instances of motion. Pseudorandom projection ordering provides flexibility of reconstructing navigator images from the obtained motion-free variable-width subsets for subsequent estimation of rigid body motion parameters by coregistration. The proposed approach does not require any additional navigators or external motion estimation schemes. The capabilities and limitations of the method are described and demonstrated through simulations and representative volunteer cranial acquisitions.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22760728      PMCID: PMC4226397          DOI: 10.1002/mrm.24348

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  39 in total

1.  Sampling density compensation in MRI: rationale and an iterative numerical solution.

Authors:  J G Pipe; P Menon
Journal:  Magn Reson Med       Date:  1999-01       Impact factor: 4.668

2.  Multishot diffusion-weighted FSE using PROPELLER MRI.

Authors:  James G Pipe; Victoria G Farthing; Kirsten P Forbes
Journal:  Magn Reson Med       Date:  2002-01       Impact factor: 4.668

3.  SMASH navigators.

Authors:  M Bydder; D Atkinson; D J Larkman; D L G Hill; J V Hajnal
Journal:  Magn Reson Med       Date:  2003-03       Impact factor: 4.668

4.  Projection reconstruction techniques for reduction of motion effects in MRI.

Authors:  G H Glover; J M Pauly
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5.  Nonrigid motion correction in 3D using autofocusing with localized linear translations.

Authors:  Joseph Y Cheng; Marcus T Alley; Charles H Cunningham; Shreyas S Vasanawala; John M Pauly; Michael Lustig
Journal:  Magn Reson Med       Date:  2012-02-03       Impact factor: 4.668

6.  Advances in locally constrained k-space-based parallel MRI.

Authors:  Alexey A Samsonov; Walter F Block; Arjun Arunachalam; Aaron S Field
Journal:  Magn Reson Med       Date:  2006-02       Impact factor: 4.668

7.  A computational approach to edge detection.

Authors:  J Canny
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8.  Combined prospective and retrospective motion correction to relax navigator requirements.

Authors:  Julian Maclaren; Kuan J Lee; Chaiya Luengviriya; Oliver Speck; Maxim Zaitsev
Journal:  Magn Reson Med       Date:  2011-02-11       Impact factor: 4.668

9.  Consistent projection reconstruction (CPR) techniques for MRI.

Authors:  G H Glover; D C Noll
Journal:  Magn Reson Med       Date:  1993-03       Impact factor: 4.668

10.  Rigid-body motion correction with self-navigation MRI.

Authors:  Jason Mendes; Eugene Kholmovski; Dennis L Parker
Journal:  Magn Reson Med       Date:  2009-03       Impact factor: 4.668

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  18 in total

1.  Removal of cerebrospinal fluid partial volume effects in quantitative magnetization transfer imaging using a three-pool model with nonexchanging water component.

Authors:  Pouria Mossahebi; Andrew L Alexander; Aaron S Field; Alexey A Samsonov
Journal:  Magn Reson Med       Date:  2014-11-13       Impact factor: 4.668

2.  Fast susceptibility-weighted imaging with three-dimensional short-axis propeller (SAP)-echo-planar imaging.

Authors:  Samantha J Holdsworth; Kristen W Yeom; Michael E Moseley; S Skare
Journal:  J Magn Reson Imaging       Date:  2014-06-23       Impact factor: 4.813

Review 3.  Motion artifacts in MRI: A complex problem with many partial solutions.

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Journal:  J Magn Reson Imaging       Date:  2015-01-28       Impact factor: 4.813

4.  Role of MRI for detecting micro cracks in teeth.

Authors:  Djaudat Idiyatullin; Michael Garwood; Laurence Gaalaas; Donald R Nixdorf
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5.  Robust Motion Correction Strategy for Structural MRI in Unsedated Children Demonstrated with Three-dimensional Radial MPnRAGE.

Authors:  Steven Kecskemeti; Alexey Samsonov; Julia Velikina; Aaron S Field; Patrick Turski; Howard Rowley; Janet E Lainhart; Andrew L Alexander
Journal:  Radiology       Date:  2018-07-31       Impact factor: 11.105

6.  Improving the robustness of 3D turbo spin echo imaging to involuntary motion.

Authors:  Guobin Li; Maxim Zaitsev; Martin Büchert; Esther Raithel; Dominik Paul; Jan G Korvink; Jürgen Hennig
Journal:  MAGMA       Date:  2014-11-20       Impact factor: 2.310

7.  Optical tracking with two markers for robust prospective motion correction for brain imaging.

Authors:  Aditya Singh; Benjamin Zahneisen; Brian Keating; Michael Herbst; Linda Chang; Maxim Zaitsev; Thomas Ernst
Journal:  MAGMA       Date:  2015-06-30       Impact factor: 2.310

8.  Three-dimensional motion-corrected T1 relaxometry with MPnRAGE.

Authors:  Steven Kecskemeti; Andrew L Alexander
Journal:  Magn Reson Med       Date:  2020-04-17       Impact factor: 4.668

9.  Comparison of mouse brain DTI maps using K-space average, image-space average, or no average approach.

Authors:  Shu-Wei Sun; Jennifer Mei; Keelan Tuel
Journal:  Magn Reson Imaging       Date:  2013-08-27       Impact factor: 2.546

10.  Self-Navigated Three-Dimensional Ultrashort Echo Time Technique for Motion-Corrected Skull MRI.

Authors:  Hyunyeol Lee; Xia Zhao; Hee Kwon Song; Felix W Wehrli
Journal:  IEEE Trans Med Imaging       Date:  2020-03-04       Impact factor: 10.048

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