Automated vertebrae identification and segmentation with structural uncertainty analysis in longitudinal CT scans of patients with multiple myeloma.

Journal: European journal of radiology
Published Date:

Abstract

OBJECTIVES: Optimize deep learning-based vertebrae segmentation in longitudinal CT scans of multiple myeloma patients using structural uncertainty analysis.

Authors

  • Djennifer K Madzia-Madzou
    Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands.
  • Margot Jak
    Department of Hematology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands.
  • Bart de Keizer
    Department of Radiology and Nuclear Medicine, Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Jorrit-Jan Verlaan
    P. T. Ogink, J.-J. Verlaan, Department of Orthopaedic Surgery, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Monique C Minnema
    Department of Hematology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands.
  • Kenneth Gilhuijs
    Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands. Electronic address: k.g.a.gilhuijs@umcutrecht.nl.