Facial surgery preview based on the orthognathic treatment prediction.

Journal: Computer methods and programs in biomedicine
Published Date: Apr 23, 2025

Abstract

BACKGROUND AND OBJECTIVE: Orthognathic surgery consultations are essential for helping patients understand how their facial appearance may change after surgery. However, current visualization methods are often inefficient and inaccurate due to limited pre- and post-treatment data and the complexity of the treatment. This study aims to develop a fully automated pipeline for generating accurate and efficient 3D previews of postsurgical facial appearances without requiring additional medical images.

Authors

  • Huijun Han
    Discipline of Orthodontics, Faculty of Dentistry, the University of Hong Kong, Hong Kong Special Administrative Region of China; Department of Computer Science and Engineering, Texas A&M University, TX, USA.
  • Congyi Zhang
  • Lifeng Zhu
    The State Key Laboratory of Bioelectronics, Jiangsu Key Lab of Remote Measurement and Control, School of Instrument Science and Engineering, Southeast University, Sipailou 2, Nanjing, 210096, Jiangsu, China. lfzhulf@gmail.com.
  • Pradeep Singh
    Department of Computer Science and Engineering, National Institute of Technology, Raipur, C.G., India. Electronic address: psingh.cs@nitrr.ac.in.
  • Richard Tai-Chiu Hsung
    Department of Computer Science, Chu Hai College of Higher Education, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.
  • Yiu Yan Leung
    Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong, SAR, China. mikeyyleung@hku.hk.
  • Taku Komura
    School of Informatics, University of Edinburgh, Edinburgh, UK.
  • Wenping Wang
    School of Management Science and Engineering, Shandong Normal University, Jinan, China.
  • Min Gu

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