Optimizing MRI sequence classification performance: insights from domain shift analysis.

Journal: European radiology
Published Date: May 26, 2025

Abstract

BACKGROUND: MRI sequence classification becomes challenging in multicenter studies due to variability in imaging protocols, leading to unreliable metadata and requiring labor-intensive manual annotation. While numerous automated MRI sequence identification models are available, they frequently encounter the issue of domain shift, which detrimentally impacts their accuracy. This study addresses domain shift, particularly from adult to pediatric MRI data, by evaluating the effectiveness of pre-trained models under these conditions.

Authors

  • Mustafa Ahmed Mahmutoglu
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Aditya Rastogi
    Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, 560012, India.
  • Gianluca Brugnara
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Philipp Vollmuth
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany. Electronic address: philipp.vollmuth@med.uni-heidelberg.de.
  • Martha Foltyn-Dumitru
    Division for Computational Neuroimaging, Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Felix Sahm
    Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Stefan Pfister
    Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany.
  • Dominik Sturm
    Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
  • Martin Bendszus
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Marianne Schell
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.

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