A deep cascaded segmentation of obstructive sleep apnea-relevant organs from sagittal spine MRI.

Journal: International journal of computer assisted radiology and surgery
Published Date: Apr 1, 2021

Abstract

PURPOSE: The main purpose of this work was to develop an efficient approach for segmentation of structures that are relevant for diagnosis and treatment of obstructive sleep apnea syndrome (OSAS), namely pharynx, tongue, and soft palate, from mid-sagittal magnetic resonance imaging (MR) data. This framework will be applied to big data acquired within an on-going epidemiological study from a general population.

Authors

  • Tatyana Ivanovska
    Department of Computational Neuroscience, Georg-August-University, Friedrich-Hund Platz, 1, 37077, Göttingen, Germany. tiva@phys.uni-goettingen.de.
  • Amro Daboul
    Department of Prosthodontics, Gerodontology and Biomaterials, University Medicine Greifswald, Fleischmannstr. 42-44, 17475, Greifswald, Germany.
  • Oleksandr Kalentev
    Institute for Physics, Alumni of University of Greifswald, Felix-Hausdorff-Str. 18, 17489, Greifswald, Germany.
  • Norbert Hosten
    Department of Radiology and Neuroradiology, University Medicine Greifswald, Fleischmannstr. 42-44, 17475, Greifswald, Germany.
  • Reiner Biffar
    Department of Prosthodontics, Gerodontology and Biomaterials, University Medicine Greifswald, Fleischmannstr. 42-44, 17475, Greifswald, Germany.
  • Henry Völzke
    Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
  • Florentin Wörgötter
    Department of Computational Neuroscience, Georg-August-University, Friedrich-Hund Platz, 1, 37077, Göttingen, Germany.

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