Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural network.

Journal: Medical physics
Published Date: Sep 13, 2019

Abstract

PURPOSE: In order to attain anatomical models, surgical guides and implants for computer-assisted surgery, accurate segmentation of bony structures in cone-beam computed tomography (CBCT) scans is required. However, this image segmentation step is often impeded by metal artifacts. Therefore, this study aimed to develop a mixed-scale dense convolutional neural network (MS-D network) for bone segmentation in CBCT scans affected by metal artifacts.

Authors

  • Jordi Minnema
    Amsterdam UMC and Academic Centre for Dentistry Amsterdam (ACTA), Vrije Universiteit Amsterdam, Department of Oral and Maxillofacial Surgery/Pathology, 3D Innovation Lab, Amsterdam Movement Sciences, de Boelelaan 1117, Amsterdam, the Netherlands. Electronic address: j.minnema@vumc.nl.
  • Maureen van Eijnatten
    Amsterdam UMC and Academic Centre for Dentistry Amsterdam (ACTA), Vrije Universiteit Amsterdam, Department of Oral and Maxillofacial Surgery/Pathology, 3D Innovation Lab, Amsterdam Movement Sciences, de Boelelaan 1117, Amsterdam, the Netherlands; Centrum Wiskunde & Informatica (CWI), Science Park 123, Amsterdam, the Netherlands.
  • Allard A Hendriksen
    Centrum Wiskunde & Informatica (CWI), 1090 GB, Amsterdam, The Netherlands.
  • Niels Liberton
    Medical Technology, Amsterdam UMC, Vrije Universiteit Amsterdam, 3D Innovationlab, 1081 HV, Amsterdam, The Netherlands.
  • Daniël M Pelt
    Centrum Wiskunde & Informatica, Science Park 123, 1098 XG Amsterdam, The Netherlands.
  • Kees Joost Batenburg
    Centrum Wiskunde & Informatica, Science Park 123, 1098 XG Amsterdam, The Netherlands.
  • Tymour Forouzanfar
    Department of Oral and Maxillofacial Surgery/Pathology, Amsterdam UMC and Academic Centre for Dentistry Amsterdam (ACTA), Vrije Universiteit Amsterdam Amsterdam Movement Sciences, 3D Innovationlab, 1081 HV, Amsterdam, The Netherlands.
  • Jan Wolff
    Amsterdam UMC and Academic Centre for Dentistry Amsterdam (ACTA), Vrije Universiteit Amsterdam, Department of Oral and Maxillofacial Surgery/Pathology, 3D Innovation Lab, Amsterdam Movement Sciences, de Boelelaan 1117, Amsterdam, the Netherlands; Department of Oral and Maxillofacial Surgery, Division for Regenerative Orofacial Medicine, University Hospital Hamburg-Eppendorf, Hamburg, Germany.

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