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Evaluation of 3D fat-navigator based retrospective motion correction in the clinical setting of patients with brain tumors

  • Diagnostic Neuroradiology
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Abstract

Purpose

A 3D fat-navigator (3D FatNavs)-based retrospective motion correction is an elegant approach to correct for motion as it requires no additional hardware and can be acquired during existing ‘dead-time’ within common 3D protocols. The purpose of this study was to clinically evaluate 3D FatNavs in the work-up of brain tumors.

Methods

An MRI-based fat-excitation motion navigator incorporated into a standard MPRAGE sequence was acquired in 40 consecutive patients with (or with suspected) brain tumors, pre and post-Gadolinium injection. Each case was categorized into key anatomical landmarks, the temporal lobes, the infra-tentorial region, the basal ganglia, the bifurcations of the middle cerebral artery, and the A2 segment of the anterior cerebral artery. First, the severity of motion in the non-corrected MPRAGE was assessed for each landmark, using a 5-point score from 0 (no artifacts) to 4 (non-diagnostic). Second, the improvement in image quality in each pair and for each landmark was assessed blindly using a 4-point score from 0 (identical) to 3 (strong correction).

Results

The mean image improvement score throughout the datasets was 0.54. Uncorrected cases with light and no artifacts displayed scores of 0.50 and 0.13, respectively, while cases with moderate artifacts, severe artifacts, and non-diagnostic image quality revealed a mean score of 1.17, 2.25, and 1.38, respectively.

Conclusion

Fat-navigator-based retrospective motion correction significantly improved MPRAGE image quality in restless patients during MRI acquisition. There was no loss of image quality in patients with little or no motion, and improvements were consistent in patients who moved more.

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Acknowledgments

CF is supported by the Swiss National Science Foundation.

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Authors and Affiliations

  1. Division of Diagnostic and Interventional Neuroradiology, Department of Radiology, University Hospital Basel, Basel, Switzerland

    Carl Glessgen, Manuela Moor, Nicolin Hainc & Christian Federau

  2. Cardiff University Brain Research Imaging Centre (CUBRIC), School of Engineering, Cardiff University, Cardiff, UK

    Daniel Gallichan

  3. Clinic for Neuroradiology, University Hospital of Zurich, Zurich, Switzerland

    Nicolin Hainc

  4. Institute for Biomedical Engineering, ETH Zürich and University Zürich, Gloriastrasse 35, 8092, Zurich, Switzerland

    Christian Federau

Authors
  1. Carl Glessgen
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  2. Daniel Gallichan
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  3. Manuela Moor
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  4. Nicolin Hainc
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  5. Christian Federau
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Corresponding author

Correspondence to Christian Federau.

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No funding was received for this study.

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The authors declare that they have no conflict of interest.

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All procedures performed in the studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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Glessgen, C., Gallichan, D., Moor, M. et al. Evaluation of 3D fat-navigator based retrospective motion correction in the clinical setting of patients with brain tumors. Neuroradiology 61, 557–563 (2019). https://doi.org/10.1007/s00234-019-02160-w

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  • DOI: https://doi.org/10.1007/s00234-019-02160-w

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