Literature DB >> 21816638

On the significance of motion degradation in high-resolution 3D μMRI of trabecular bone.

Yusuf A Bhagat1, Chamith S Rajapakse, Jeremy F Magland, Michael J Wald, Hee Kwon Song, Mary B Leonard, Felix W Wehrli.   

Abstract

RATIONALE AND
OBJECTIVES: Subtle subject movement during high-resolution three-dimensional micro-magnetic resonance imaging of trabecular bone (TB) causes blurring, thereby rendering the data unreliable for quantitative analysis. In this work, the effects of translational and rotational motion displacements were evaluated qualitatively and quantitatively.
MATERIALS AND METHODS: In experiment 1, motion was induced by applying various simulated and previously observed in vivo trajectories as phase shifts to k-space or rotation angles to k-space segments of a virtually motion-free data set. In experiment 2, images that were visually free of motion artifacts from two groups of 10 healthy individuals, differing in age, were selected to probe the effects of motion on TB parameters. In both experiments, images were rated for motion severity, and the scores were compared to a focus criterion, the normalized gradient squared.
RESULTS: Strong correlations were observed between the motion quality scores and the corresponding normalized gradient squared values (R(2) = 0.52-0.64, P < .01). The results from experiment 1 demonstrated consistently lower image quality and alterations in structural parameters of 9% to 45% with increased amplitude of displacements. In experiment 2, the significant differences in structural parameter group means of the motion-free images were lost upon motion degradation. Autofocusing, a postprocessing correction method, partially recovered the sharpness of the original motion-free images in 13 of 20 subjects.
CONCLUSIONS: Quantitative TB structural measures are highly sensitive to subtle motion-induced degradation, which adversely affects precision and statistical power. The results underscore the influence of subject movement in high-resolution three-dimensional micro-magnetic resonance imaging and its correction for TB structure analysis.
Copyright © 2011 AUR. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21816638      PMCID: PMC3168960          DOI: 10.1016/j.acra.2011.06.006

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  41 in total

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Authors:  J G Pipe
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2.  Spherical navigator echoes for full 3D rigid body motion measurement in MRI.

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3.  Processing and analysis of in vivo high-resolution MR images of trabecular bone for longitudinal studies: reproducibility of structural measures and micro-finite element analysis derived mechanical properties.

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4.  Autocorrection in MR imaging: adaptive motion correction without navigator echoes.

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Review 5.  Kappa coefficients in medical research.

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6.  Quantitative characterization of subject motion in HR-pQCT images of the distal radius and tibia.

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8.  Topological analysis of trabecular bone MR images.

Authors:  B R Gomberg; P K Saha; H K Song; S N Hwang; F W Wehrli
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9.  Digital topological analysis of in vivo magnetic resonance microimages of trabecular bone reveals structural implications of osteoporosis.

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10.  Reproducibility and error sources of micro-MRI-based trabecular bone structural parameters of the distal radius and tibia.

Authors:  B R Gomberg; F W Wehrli; B Vasilić; R H Weening; P K Saha; H K Song; A C Wright
Journal:  Bone       Date:  2004-07       Impact factor: 4.398

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  3 in total

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Authors:  Chamith S Rajapakse; Mary B Leonard; Yusuf A Bhagat; Wenli Sun; Jeremy F Magland; Felix W Wehrli
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2.  Registration-based autofocusing technique for automatic correction of motion artifacts in time-series studies of high-resolution bone MRI.

Authors:  Ning Zhang; Jeremy F Magland; Hee Kwon Song; Felix W Wehrli
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Review 3.  A comparison of peripheral imaging technologies for bone and muscle quantification: a technical review of image acquisition.

Authors:  A K Wong
Journal:  J Musculoskelet Neuronal Interact       Date:  2016-12-14       Impact factor: 2.041

  3 in total

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