A knowledge-based algorithm for automatic detection of cephalometric landmarks on CBCT images

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• 作者：Abhishek Gupta ; Om Prakash Kharbanda…
• 关键词：Automatic landmark detection ; Cephalometry ; Cone ; beam computed tomography (CBCT) ; Three ; dimensional image ; Cephalometric landmark identification
• 刊名：International Journal of Computer Assisted Radiology and Surgery
• 出版年：2015
• 出版时间：November 2015
• 年：2015
• 卷：10
• 期：11
• 页码：1737-1752
• 全文大小：3,202 KB
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• 作者单位：Abhishek Gupta (1) (2)
  Om Prakash Kharbanda (3)
  Viren Sardana (2)
  Rajiv Balachandran (3)
  Harish Kumar Sardana (1) (2)
  
  1. Academy of Scientific and Innovative Research (AcSIR), New Delhi, India
  2. CSIR-Central Scientific Instruments Organisation, Chandigarh, 160030, India
  3. Division of Orthodontics and Dentofacial Deformities, Centre for Dental Education and Research, All India Institute of Medical Sciences, New Delhi, 110029, India
  
• 刊物主题：Imaging / Radiology; Surgery; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science, general;
• 出版者：Springer Berlin Heidelberg
• ISSN：1861-6429

文摘

Purpose Cone-beam computed tomography (CBCT) is now an established component for 3D evaluation and treatment planning of patients with severe malocclusion and craniofacial deformities. Precision landmark plotting on 3D images for cephalometric analysis requires considerable effort and time, notwithstanding the experience of landmark plotting, which raises a need to automate the process of 3D landmark plotting. Therefore, knowledge-based algorithm for automatic detection of landmarks on 3D CBCT images has been developed and tested.