Image analysis research in neuroradiology: bridging clinical and technical domains.

Journal: Neuroradiology
Published Date: May 28, 2025

Abstract

PURPOSE: Advancements in magnetic resonance imaging (MRI) analysis over the past decades have significantly reshaped the field of neuroradiology. The ability to extract multiple quantitative measures from each MRI scan, alongside the development of extensive data repositories, has been fundamental to the emergence of advanced methodologies such as radiomics and artificial intelligence (AI). This educational review aims to delineate the importance of image analysis, highlight key paradigm shifts, examine their implications, and identify existing constraints that must be addressed to facilitate integration into clinical practice. Particular attention is given to aiding junior neuroradiologists in navigating this complex and evolving landscape.

Authors

  • Deborah Pareto
    Magnetic Resonance Unit, Dept of Radiology, Vall d'Hebron University Hospital, Spain.
  • Pablo Naval-Baudin
    Radiology Department, Bellvitge University Hospital, 08907 Barcelona, Spain.
  • Albert Pons-Escoda
    Radiology Department, Hospital Universitari de Bellvitge, Barcelona, Spain.
  • Nuria Bargalló
    Center of Image Diagnostic, Hospital Clínic de Barcelona, Barcelona, Spain.
  • María Garcia-Gil
    Institut Diagnòstic Per La Imatge (IDI), Serveis Corporatius, Parc Sanitaria Pere Virgili, Barcelona, Spain.
  • Carlos Majos
    Radiology Department, Bellvitge University Hospital, 08907 Barcelona, Spain; Neuro-Oncology Unit, Institut d'Investigacio Biomedica de Bellvitge (IDIBELL), 08907 Barcelona, Spain.
  • Àlex Rovira
    Magnetic Resonance Unit, Dept of Radiology, Vall d'Hebron University Hospital, Spain.

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