A fully deep learning model for the automatic identification of cephalometric landmarks |
Kim, Young Hyun
(Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry)
Lee, Chena (Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry) Ha, Eun-Gyu (Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry) Choi, Yoon Jeong (Department of Orthodontics, Institute of Craniofacial Deformity, Yonsei University College of Dentistry) Han, Sang-Sun (Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry) |
1 | Wang S, Li H, Li J, Zhang Y, Zou B. Automatic analysis of lateral cephalograms based on multiresolution decision tree regression voting. J Healthc Eng 2018; 2018: 1797502. DOI |
2 | Broadbent BH. A new x-ray technique and its application to orthodontia. Angle Orthod 1931; 1: 45-66. |
3 | Lindner C, Wang CW, Huang CT, Li CH, Chang SW, Cootes TF. Fully automatic system for accurate localisation and analysis of cephalometric landmarks in lateral cephalograms. Sci Rep 2016; 6: 33581. DOI |
4 | Yang J, Ling X, Lu Y, Wei M, Ding G. Cephalometric image analysis and measurement for orthognathic surgery. Med Biol Eng Comput 2001; 39: 279-84. DOI |
5 | Houston WJ. The analysis of errors in orthodontic measurements. Am J Orthod 1983; 83: 382-90. DOI |
6 | Chien PC, Parks ET, Eraso F, Hartsfield JK, Roberts WE, Ofner S. Comparison of reliability in anatomical landmark identification using two-dimensional digital cephalometrics and three-dimensional cone beam computed tomography in vivo. Dentomaxillofac Radiol 2009; 38: 262-73. DOI |
7 | Durao AP, Morosolli A, Pittayapat P, Bolstad N, Ferreira AP, Jacobs R. Cephalometric landmark variability among orthodontists and dentomaxillofacial radiologists: a comparative study. Imaging Sci Dent 2015; 45: 213-20. DOI |
8 | Trpkova B, Major P, Prasad N, Nebbe B. Cephalometric landmarks identification and reproducibility: a meta analysis. Am J Orthod Dentofacial Orthop 1997; 112: 165-70. DOI |
9 | Houston WJ, Maher RE, McElroy D, Sherriff M. Sources of error in measurements from cephalometric radiographs. Eur J Orthod 1986; 8: 149-51. DOI |
10 | Midtgard J, Bjork G, Linder-Aronson S. Reproducibility of cephalometric landmarks and errors of measurements of cephalometric cranial distances. Angle Orthod 1974; 44: 56-61. |
11 | Rueda S, Alcaniz M. An approach for the automatic cephalometric landmark detection using mathematical morphology and active appearance models. Med Image Comput Comput Assist Interv 2006; 9: 159-66. |
12 | Parthasarathy S, Nugent ST, Gregson PG, Fay DF. Automatic landmarking of cephalograms. Comput Biomed Res 1989; 22: 248-69. DOI |
13 | Tong W, Nugent ST, Jensen GM, Fay DF. An algorithm for locating landmarks on dental X-rays. In: Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society; 1989 Nob 9-12; Seattle, WA: IEEE; 1989. p. 552-4 vol.2. |
14 | Grau V, Alcaniz M, Juan MC, Monserrat C, Knoll C. Automatic localization of cephalometric landmarks. J Biomed Inform 2001; 34: 146-56. DOI |
15 | Hutton TJ, Cunningham S, Hammond P. An evaluation of active shape models for the automatic identification of cephalometric landmarks. Eur J Orthod 2000; 22: 499-508. DOI |
16 | Montufar J, Romero M, Scougall-Vilchis RJ. Hybrid approach for automatic cephalometric landmark annotation on conebeam computed tomography volumes. Am J Orthod Dentofacial Orthop 2018; 154: 140-50. DOI |
17 | Yue W, Yin D, Li C, Wang G, Xu T. Automated 2-D cephalometric analysis on X-ray images by a model-based approach. IEEE Trans Biomed Eng 2006; 53: 1615-23. DOI |
18 | Arik SO, Ibragimov B, Xing L. Fully automated quantitative cephalometry using convolutional neural networks. J Med Imaging (Bellingham) 2017; 4: 014501. DOI |
19 | Innes A, Ciesielski V, Mamutil J, John S. Landmark detection for cephalometric radiology images using pulse coupled neural networks. In: Arabnia H, Mun Y, editors. Proceedings of the International Conference on Artificial Intelligence (ICAI'02); 2002 June 24-27; Las Vegas, Nevada, USA: CSREA; 2002. p.511-517. Vol. 2. |
20 | Wang CW, Huang CT, Hsieh MC, Li CH, Chang SW, Li WC, et al. Evaluation and comparison of anatomical landmark detection methods for cephalometric X-ray images: a grand challenge. IEEE Trans Med Imaging 2015; 34: 1890-900. DOI |
21 | Shahidi S, Oshagh M, Gozin F, Salehi P, Danaei SM. Accuracy of computerized automatic identification of cephalometric landmarks by a designed software. Dentomaxillofac Radiol 2013; 42: 20110187. DOI |
22 | Wang CW, Huang CT, Lee JH, Li CH, Chang SW, Siao MJ, et al. A benchmark for comparison of dental radiography analysis algorithms. Med Image Anal 2016; 31: 63-76. DOI |
23 | Song Y, Qiao X, Iwamoto Y, Chen YW. Automatic cephalometric landmark detection on X-ray images using a deep-learning method. Appl Sci 2020; 10: 2547. DOI |
24 | Delamare EL, Liedke GS, Vizzotto MB, da Silveira HL, Ribeiro JL, Silveira HE. Influence of a programme of professional calibration in the variability of landmark identification using cone beam computed tomography-synthesized and conventional radiographic cephalograms. Dentomaxillofac Radiol 2010; 39: 414-23. DOI |
25 | Lau PY, Cooke MS, Hagg U. Effect of training and experience on cephalometric measurement errors on surgical patients. Int J Adult Orthodon Orthognath Surg 1997; 12: 204-13. |
26 | Gravely JF, Benzies PM. The clinical significance of tracing error in cephalometry. Br J Orthod 1974; 1: 95-101. DOI |
27 | Sekiguchi T, Savara BS. Variability of cephalometric landmarks used for face growth studies. Am J Orthod 1972; 61: 603-18. DOI |
28 | Levy-Mandel AD, Venetsanopoulos AN, Tsotsos JK. Knowledge-based landmarking of cephalograms. Comput Biomed Res 1986; 19: 282-309. DOI |
29 | Cardillo J, Sid-Ahmed MA. An image processing system for locating craniofacial landmarks. IEEE Trans Med Imaging 1994; 13: 275-89. DOI |
30 | Lee H, Park M, Kim J. Cephalometric landmark detection in dental X-ray images using convolutional neural networks. In: Armato SG III, Petrick NA, editors. ProceedingsMedical Imaging 2017: Computer-Aided Diagnosis; 2017 Feb 11-16; Orlando, Florida, United States: SPIE; 2017. p. 101341W |
31 | Tng TT, Chan TC, Hagg U, Cooke MS. Validity of cephalometric landmarks. An experimental study on human skulls. Eur J Orthod 1994; 16: 110-20. DOI |
32 | Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 2016; 15: 155-63. DOI |
33 | Durao AR, Pittayapat P, Rockenbach MI, Olszewski R, Ng S, Ferreira AP, et al. Validity of 2D lateral cephalometry in orthodontics: a systematic review. Prog Orthod 2013; 14: 31. DOI |