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Multi T1-weighted contrast imaging and T1 mapping with compressed sensing FLAWS at 3 T

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Abstract

Objective

The Fluid And White matter Suppression (FLAWS) MRI sequence provides multiple T1-weighted contrasts of the brain in a single acquisition. However, the FLAWS acquisition time is approximately 8 min with a standard GRAPPA 3 acceleration factor at 3 T. This study aims at reducing the FLAWS acquisition time by providing a new sequence optimization based on a Cartesian phyllotaxis k-space undersampling and a compressed sensing (CS) reconstruction. This study also aims at showing that T1 mapping can be performed with FLAWS at 3 T.

Materials and methods

The CS FLAWS parameters were determined using a method based on a profit function maximization under constraints. The FLAWS optimization and T1 mapping were assessed with in-silico, in-vitro and in-vivo (10 healthy volunteers) experiments conducted at 3 T.

Results

In-silico, in-vitro and in-vivo experiments showed that the proposed CS FLAWS optimization allows the acquisition time of a 1 mm-isotropic full-brain scan to be reduced from \(8 \mathrm{mins}\) to \(6 \mathrm{mins}\) without decreasing image quality. In addition, these experiments demonstrate that T1 mapping can be performed with FLAWS at 3 T.

Discussion

The results obtained in this study suggest that the recent advances in FLAWS imaging allow to perform multiple T1-weighted contrast imaging and T1 mapping in a single \(6 \mathrm{mins}\) sequence acquisition.

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Data availability statement

The participants of this study did not give written consent for their data to be shared publicly, so due to the sensitive nature of the research supporting data is not available.

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Acknowledgements

We thank the “Region Bretagne” (France), which partially funded the current study. We are also grateful to the team at the Herston Imaging Research Facility for their generous scan time allowances and technical support in acquiring the data presented here.

Author information

Authors and Affiliations

  1. Univ Rennes, CRLCC Eugene Marquis, Inserm, LTSI-UMR1099, LTSI, Campus de Beaulieu, Université de Rennes 1, 35042, Rennes, France

    Jeremy Beaumont, Oscar Acosta & Giulio Gambarota

  2. The Australian e-Health Research Centre, CSIRO, Brisbane, QLD, Australia

    Jeremy Beaumont, Jurgen Fripp, Parnesh Raniga & Julie Trinder

  3. Univ Rennes, Inria, CNRS, Inserm, IRISA, EMPENN ERL U-1228, Rennes, France

    Jean-Christophe Ferre

  4. Department of Neuroradiology, CHU Rennes, Rennes, France

    Jean-Christophe Ferre

  5. School of Clinical Sciences, Centre for Biomedical Technologies, Queensland University of Technology (QUT), Brisbane, QLD, Australia

    Katie McMahon

  6. Herston Imaging Research Facility, Royal Brisbane and Women’s Hospital, Brisbane, QLD, Australia

    Katie McMahon

  7. Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland

    Tobias Kober

  8. Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland

    Tobias Kober

  9. LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

    Tobias Kober

Authors
  1. Jeremy Beaumont
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  2. Jurgen Fripp
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  3. Parnesh Raniga
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  4. Oscar Acosta
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  5. Jean-Christophe Ferre
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  6. Katie McMahon
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  7. Julie Trinder
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  8. Tobias Kober
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  9. Giulio Gambarota
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Contributions

JB: study conception and design, acquisition of data, analysis and interpretation of data, drafting of manuscript, critical revision. JF: study conception and design, acquisition of data, critical revision. PR: acquisition of data, critical revision. OA: study conception and design, critical revision. JCF: analysis and interpretation of data, critical revision. KLMM: acquisition of data, critical revision. JT: acquisition of data, critical revision. TK: study conception and design, analysis and interpretation of data, critical revision. GG: study conception and design, analysis and interpretation of data, drafting of the manuscript, critical revision.

Corresponding author

Correspondence to Jeremy Beaumont.

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Conflict of interest

Tobias Kober is fully employed at Siemens Healthcare, Switzerland. None of the other authors has any conflict of interest to disclose.

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Beaumont, J., Fripp, J., Raniga, P. et al. Multi T1-weighted contrast imaging and T1 mapping with compressed sensing FLAWS at 3 T. Magn Reson Mater Phy 36, 823–836 (2023). https://doi.org/10.1007/s10334-023-01071-5

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  • DOI: https://doi.org/10.1007/s10334-023-01071-5

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