Automatic detection of anteriorly displaced temporomandibular joint discs on magnetic resonance images using a deep learning algorithm.

Journal: Dento maxillo facial radiology
Published Date: Nov 29, 2021

Abstract

OBJECTIVES: This study aimed to develop models that can automatically detect anterior disc displacement (ADD) of the temporomandibular joint (TMJ) on MRIs before orthodontic treatment to reduce the risk of developing serious complications after treatment.

Authors

  • Bolun Lin
    Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA 01609, USA.
  • Mosha Cheng
    Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, China Medical University, Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, PR China.
  • Shuze Wang
    Department of Computational Medicine and Bioinformatics, University of Michigan, USA.
  • Fulong Li
    Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, China Medical University, Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, PR China.
  • Qing Zhou
    Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

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