Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis.

Journal: Clinical imaging
PMID: 34598006

Abstract

BACKGROUND: Osteoporosis is an underdiagnosed and undertreated disease worldwide. Recent studies have highlighted the use of simple vertebral trabecular attenuation values for opportunistic osteoporosis screening. Meanwhile, machine learning has been used to accurately segment large parts of the human skeleton.

Authors

  • David Schmidt
    Skåne University Hospital, Jan Waldenströms gata 35, 205 02 Malmö, Sweden. Electronic address: david.schmidt@med.lu.se.
  • Johannes Ulén
    Eigenvision AB, Malmö, Sweden.
  • Olof Enqvist
    Department of Electrical Engineering, Region Västra Götaland, Chalmers University of Technology, Gothenburg, Sweden.
  • Erik Persson
    Skåne University Hospital, Jan Waldenströms gata 35, 205 02 Malmö, Sweden.
  • Elin Trägårdh
    Department of Clinical Physiology and Nuclear Medicine, Lund University and Skåne University Hospital, Malmö, Sweden.
  • Peter Leander
    Skåne University Hospital, Jan Waldenströms gata 35, 205 02 Malmö, Sweden.
  • Lars Edenbrandt
    Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

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