Multi-class deep learning segmentation and automated measurements in periodontal sonograms of a porcine model.

Journal: Dento maxillo facial radiology
Published Date: Nov 23, 2021

Abstract

OBJECTIVES: Ultrasound emerges as a complement to cone-beam computed tomography in dentistry, but struggles with artifacts like reverberation and shadowing. This study seeks to help novice users recognize soft tissue, bone, and crown of a dental sonogram, and automate soft tissue height (STH) measurement using deep learning.

Authors

  • Ying-Chun Pan
    Department of Biomedical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Hsun-Liang Chan
    Department of Periodontics and Oral Medicine, School of Dentistry, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Xiangbo Kong
    Department of Periodontics and Oral Medicine, School of Dentistry, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Lubomir M Hadjiiski
    Department of Radiology, University of Michigan, Ann Arbor, Michigan.
  • Oliver D Kripfgans
    Department of Biomedical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.

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