Fully-automatic synthesizing method of dental panoramic radiograph by using internal curve of mandible in dental volumetric ct

Sanghun Lee, Seongyoun Woo, Chulhee Lee, Joonwoo Lee, Jaejun Seo

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

Compared to conventional dental panoramic radiograph, synthesizing panoramic radiograph directly computed from dental cone-beam computed tomography (CBCT) images provides high-resolution images with reduced geometric distortion. Previous approaches required manual operations or were based on CBCT images without metal artifacts or missing teeth. In this paper, we introduced a fully-automatic method that can be applied to CBCT scans under severe conditions, which consist three main steps: bone and teeth segmentation, mandible curve extraction, and panoramic mapping. An adaptive method was first used for bone and teeth segmentation. Then the internal mandible curve, which provides a stable curve regardless of metal artifacts or missing teeth, was extracted and utilized for panoramic mapping. Our synthesizing method showed stable performance on various CBCT data sets.

Original languageEnglish
Article numberCOIMG-148
JournalIS and T International Symposium on Electronic Imaging Science and Technology
Volume2019
Issue number13
DOIs
Publication statusPublished - 2019 Jan 13
Event17th Computational Imaging Conference, CI 2019 - Burlingame, United States
Duration: 2019 Jan 132019 Jan 17

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Human-Computer Interaction
  • Software
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

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