Semiautomatic Assessment of Facet Tropism From Lumbar Spine MRI Using Deep Learning: A Northern Finland Birth Cohort Study.

Journal: Spine
PMID: 38105615

Abstract

STUDY DESIGN: This is a retrospective, cross-sectional, population-based study that automatically measured the facet joint (FJ) angles from T2-weighted axial magnetic resonance imagings (MRIs) of the lumbar spine using deep learning (DL).

Authors

  • Narasimharao Kowlagi
    Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.
  • Antti Kemppainen
    Department of Diagnostic Radiology, University Oulu Hospital, Oulu, Finland.
  • Egor Panfilov
    Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.
  • Terence McSweeney
    Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.
  • Simo Saarakkala
    Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
  • Mika Nevalainen
    University of Oulu, Oulu, Finland.
  • Jaakko Niinimäki
    Research Unit of Health Sciences and Technology, University of Oulu.
  • Jaro Karppinen
    Research Unit of Health Sciences and Technology, University of Oulu.
  • Aleksei Tiulpin
    Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland. aleksei.tiulpin@oulu.fi.

Keywords

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