Literature DB >> 19449437

Motion artifact correction in free-breathing abdominal MRI using overlapping partial samples to recover image deformations.

M J White1, D J Hawkes, A Melbourne, D J Collins, C Coolens, M Hawkins, M O Leach, D Atkinson.   

Abstract

This article presents a method to reconstruct liver MRI data acquired continuously during free breathing, without any external sensor or navigator measurements. When the deformations associated with k-space data are known, generalized matrix inversion reconstruction has been shown to be effective in reducing the ghosting and blurring artifacts of motion. This article describes a novel method to obtain these nonrigid deformations. A breathing model is built from a fast dynamic series: low spatial resolution images are registered and their deformations parameterized by overall superior-inferior displacement. The correct deformation for each subset of the subsequent imaging data is then found by comparing a few lines of k-space with the equivalent lines from a deformed reference image while varying the deformation over the model parameter. This procedure is known as image deformation recovery using overlapping partial samples (iDROPS). Simulations using 10 rapid dynamic studies from volunteers showed the average error in iDROPS-derived deformations within the liver to be 1.43 mm. A further four volunteers were imaged at higher spatial resolution. The complete reconstruction process using data from throughout several breathing cycles was shown to reduce blurring and ghosting in the liver. Retrospective respiratory gating was also demonstrated using the iDROPS parameterization. (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19449437     DOI: 10.1002/mrm.22017

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


  5 in total

1.  Free-breathing abdominal MRI improved by repeated k-t-subsampling and artifact-minimization (ReKAM).

Authors:  Mei-Lan Chu; Hing-Chiu Chang; Hsiao-Wen Chung; Mustafa R Bashir; Jing Cai; Lei Zhang; Duohua Sun; Nan-Kuei Chen
Journal:  Med Phys       Date:  2017-12-07       Impact factor: 4.071

2.  Vascular profile characterization of liver tumors by magnetic resonance imaging using hemodynamic response imaging in mice.

Authors:  Yifat Edrei; Eitan Gross; Nathalie Corchia; Galia Tsarfaty; Eithan Galun; Orit Pappo; Rinat Abramovitch
Journal:  Neoplasia       Date:  2011-03       Impact factor: 5.715

3.  Accelerated motion corrected three-dimensional abdominal MRI using total variation regularized SENSE reconstruction.

Authors:  Gastao Cruz; David Atkinson; Christian Buerger; Tobias Schaeffter; Claudia Prieto
Journal:  Magn Reson Med       Date:  2015-05-21       Impact factor: 4.668

4.  Respiratory motion estimation of the liver with abdominal motion as a surrogate.

Authors:  Shamel Fahmi; Frank F J Simonis; Momen Abayazid
Journal:  Int J Med Robot       Date:  2018-08-15       Impact factor: 2.547

5.  Radiotherapy planning using MRI.

Authors:  Maria A Schmidt; Geoffrey S Payne
Journal:  Phys Med Biol       Date:  2015-10-28       Impact factor: 3.609

  5 in total

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