Evaluating severity of white matter lesions from computed tomography images with convolutional neural network.

Journal: Neuroradiology
Published Date: Oct 1, 2020

Abstract

PURPOSE: Severity of white matter lesion (WML) is typically evaluated on magnetic resonance images (MRI), yet the more accessible, faster, and less expensive method is computed tomography (CT). Our objective was to study whether WML can be automatically segmented from CT images using a convolutional neural network (CNN). The second aim was to compare CT segmentation with MRI segmentation.

Authors

  • Johanna Pitkänen
    Department of Neurology, University of Helsinki and Helsinki University Hospital, PO Box 302, 00029 HUS, Helsinki, Finland. johanna.pitkanen@hus.fi.
  • Juha Koikkalainen
    Combinostics Ltd., Tampere, Finland and VTT Technical Research Centre of Finland, Tampere, Finland.
  • Tuomas Nieminen
    Combinostics Ltd., Tampere, Finland and VTT Technical Research Centre of Finland, Tampere, Finland.
  • Ivan Marinkovic
    Department of Neurology, University of Helsinki and Helsinki University Hospital, PO Box 302, 00029 HUS, Helsinki, Finland.
  • Sami Curtze
    Department of Neurology, University of Helsinki and Helsinki University Hospital, PO Box 302, 00029 HUS, Helsinki, Finland.
  • Gerli Sibolt
    Department of Neurology, University of Helsinki and Helsinki University Hospital, PO Box 302, 00029 HUS, Helsinki, Finland.
  • Hanna Jokinen
    Department of Neurology, University of Helsinki and Helsinki University Hospital, PO Box 302, 00029 HUS, Helsinki, Finland.
  • Daniel Rueckert
    Biomedical Image Analysis (BioMedIA) Group, Department of Computing, Imperial College London, UK. Electronic address: d.rueckert@imperial.ac.uk.
  • Frederik Barkhof
    MS Center Amsterdam, Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, the Netherlands.
  • Reinhold Schmidt
    Department of Neurology, Medical University of Graz, Austria.
  • Leonardo Pantoni
    'L. Sacco' Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy. Electronic address: leonardo.pantoni@unimi.it.
  • Philip Scheltens
    Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, Netherlands.
  • Lars-Olof Wahlund
    Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
  • Antti Korvenoja
    HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Jyrki Lötjönen
    VTT Technical Research Centre of Finland, Tampere, Finland.
  • Timo Erkinjuntti
    Department of Neurology, University of Helsinki and Helsinki University Hospital, PO Box 302, 00029 HUS, Helsinki, Finland.
  • Susanna Melkas
    Department of Neurology, University of Helsinki and Helsinki University Hospital, PO Box 302, 00029 HUS, Helsinki, Finland.

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