Efficient Computer-aided Design of Dental Inlay Restoration: A Deep Adversarial Framework

Sukun Tian, Miaohui Wang, Fulai Yuan, Ning Dai, Yuchun Sun, Wuyuan Xie, Jing Qin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Restoring the normal masticatory function of broken teeth is a challenging task primarily due to the defect location and size of a patient’s teeth. In recent years, although some representative image-to-image transformation methods (e.g. Pix2Pix) can be potentially applicable to restore the missing crown surface, most of them fail to generate dental inlay surface with realistic crown details (e.g. occlusal groove) that are critical to the restoration of defective teeth with varying shapes. In this article, we design a computer-aided Deep Adversarial-driven dental Inlay reStoration (DAIS) framework to automatically reconstruct a realistic surface for a defective tooth. Specifically, DAIS consists of a Wasserstein generative adversarial network (WGAN) with a specially designed loss measurement, and a new local-global discriminator mechanism. The local discriminator focuses on missing regions to ensure the local consistency of a generated occlusal surface, while the global discriminator aims at defective teeth and adjacent teeth to assess if it is coherent as a whole. Experimental results demonstrate that DAIS is highly efficient to deal with a large area of missing teeth in arbitrary shapes and generate realistic occlusal surface completion. Moreover, the designed watertight inlay prostheses have enough anatomical morphology, thus providing higher clinical applicability compared with more state-of-the-art methods.

Original languageEnglish
JournalIEEE Transactions on Medical Imaging
DOIs
Publication statusAccepted/In press - May 2021

Keywords

  • Automatic inlay restoration
  • deep adversarial network
  • defect teeth database
  • dental prosthesis design
  • Dentistry
  • Image reconstruction
  • Image restoration
  • local-global discriminator
  • Surface morphology
  • Surface reconstruction
  • Teeth
  • Three-dimensional displays

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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