Exploring scenarios for implementing fast quantitative MRI.

Journal: European journal of radiology open
Published Date: Jun 1, 2025

Abstract

PURPOSE: MRI waitlists and discomfort from long scanning sessions are significant problems in clinical radiology. Novel multiparametric quantitative MRI techniques (qMRI) for radiological imaging enable acquisition of full-brain data within minutes to address these problems. While technical and clinical work is advancing, there has been limited research on implementing fast qMRI. This paper aims to identify implementation factors and scenarios within a healthcare setting facing rising demand, staff shortages, and limited capacity of MRI systems.

Authors

  • Susan V van Hees
    Copernicus Institute of Sustainable Development, Innovation Studies Section, Utrecht University, the Netherlands.
  • Martin B Schilder
    Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Alexandra Keyser
    Copernicus Institute of Sustainable Development, Innovation Studies Section, Utrecht University, the Netherlands.
  • Alessandro Sbrizzi
    Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Jordi P D Kleinloog
    Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Wouter P C Boon
    Innovation Studies, Copernicus Institute of Sustainable Development, University Utrecht, Utrecht, The Netherlands.

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