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Utility of real-time prospective motion correction (PROMO) for segmentation of cerebral cortex on 3D T1-weighted imaging: Voxel-based morphometry analysis for uncooperative patients

European Radiology volume 27, pages 3554–3562 (2017)Cite this article

Abstract

Objective

To assess the utility of the motion correction method with prospective motion correction (PROMO) in a voxel-based morphometry (VBM) analysis for ‘uncooperative’ patient populations.

Methods

High-resolution 3D T1-weighted imaging both with and without PROMO were performed in 33 uncooperative patients with Parkinson's disease (n = 11) or dementia (n = 22). We compared the grey matter (GM) volumes and cortical thickness between the scans with and without PROMO.

Results

For the mean total GM volume with the VBM analysis, the scan without PROMO showed a significantly smaller volume than that with PROMO (p < 0.05), which was caused by segmentation problems due to motion during acquisition. The whole-brain VBM analysis showed significant GM volume reductions in some regions in the scans without PROMO (familywise error corrected p < 0.05). In the cortical thickness analysis, the scans without PROMO also showed decreased cortical thickness compared to the scan with PROMO (p < 0.05).

Conclusion

Our results with the uncooperative patients indicate that the use of PROMO can reduce misclassification during segmentation of the VBM analyses, although it may not prevent GM volume reduction.

Key Points

• Motion artifacts pose significant problems for VBM analyses.

• PROMO correction can reduce the motion artifacts in high-resolution 3D T1WI.

• The use of PROMO may improve the precision of VBM analyses.

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Abbreviations

EKF:

Extended Kalman filter

GM:

Grey matter

MPRAGE:

Magnetization-prepared Rapid Acquisition Gradient Echo

PROMO:

Prospective motion correction

T1WI:

T1-weighted imaging

VBM:

Voxel-based morphometry

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Acknowledgements

This work was technically supported by Scientific Research on Innovative Areas (Comprehensive Brain Science Network) from the Ministry of Education, Science, Sports and Culture of Japan.

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Affiliations

  1. Department of Radiology, University of Occupational and Environmental Health School of Medicine, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan

    Natsuki Igata, Shingo Kakeda, Keita Watanabe, Hidekuni Narimatsu, Satoru Ide & Yukunori Korogi

  2. MR Applications and Workflow Asia Pacific GE Healthcare Japan, Tokyo, Japan

    Atsushi Nozaki

  3. MR Applications and Workflow GE Healthcare, Rochester, MN, USA

    Dan Rettmann

  4. Department of Radiology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan

    Osamu Abe

Authors
  1. Natsuki Igata
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  2. Shingo Kakeda
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  3. Keita Watanabe
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  4. Atsushi Nozaki
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  5. Dan Rettmann
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  6. Hidekuni Narimatsu
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  7. Satoru Ide
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  8. Osamu Abe
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  9. Yukunori Korogi
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Corresponding author

Correspondence to Keita Watanabe.

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Guarantor

The scientific guarantor of this publication is Yukunori Korogi.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Funding

The authors state that this work has not received any funding.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Ethical approval

Institutional Review Board approval was obtained.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Study subjects or cohorts overlap

Any study subjects or cohorts have not been previously reported.

Methodology

  • prospective

  • observation

  • performed at one institution

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Igata, N., Kakeda, S., Watanabe, K. et al. Utility of real-time prospective motion correction (PROMO) for segmentation of cerebral cortex on 3D T1-weighted imaging: Voxel-based morphometry analysis for uncooperative patients. Eur Radiol 27, 3554–3562 (2017). https://doi.org/10.1007/s00330-016-4730-7

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  • DOI: https://doi.org/10.1007/s00330-016-4730-7

Keywords

  • Prospective motion correction
  • Voxel-based morphometry
  • Motion artifacts
  • Extended Kalman Filter (EKF) motion estimates
  • Parkinson’s disease