Journal of Peking University (Health Sciences) ›› 2025, Vol. 57 ›› Issue (1): 128-135. doi: 10.19723/j.issn.1671-167X.2025.01.019
Previous Articles Next Articles
Ling WU, Jiakun FANG, Xiaojing LIU, Zili LI*(
), Yang LI, Xiaoxia WANG
CLC Number:
| 1 |
Jansma J , Schepers RH . Adjunctive aesthetic procedures in orthognathic surgery[J]. Oral Maxillofac Surg Clin North Am, 2023, 35 (1): 139- 152.
doi: 10.1016/j.coms.2022.06.007 |
| 2 |
Jie B , Han B , Yao B , et al. Automatic virtual reconstruction of maxillofacial bone defects assisted by ICP (iterative closest point) algorithm and normal people database[J]. Clin Oral Investig, 2022, 26 (2): 2005- 2014.
doi: 10.1007/s00784-021-04181-3 |
| 3 | Zheng X , Zhao JL , Lv ZH , et al. Skull similarity comparison based on SPCA[J]. Multimed Tools Appl, 2020, 79 (31/32): 22423- 22446. |
| 4 |
Zhang D , Wu Z , Wang X , et al. 3D skull and face similarity measurements based on a harmonic wave kernel signature[J]. Vis Comput, 2021, 37 (4): 749- 764.
doi: 10.1007/s00371-020-01946-x |
| 5 | Xiao D , Wang L , Deng H , et al. Estimating reference bony shape model for personalized surgical reconstruction of posttraumatic facial defects[J]. Med Image Comput Comput Assist Interv, 2019, 11768, 327- 335. |
| 6 |
Fang X , Deng HH , Kuang T , et al. Patient-specific reference model estimation for orthognathic surgical planning[J]. Int J Comput Assist Radiol Surg, 2024, 19 (7): 1439- 1447.
doi: 10.1007/s11548-024-03123-0 |
| 7 |
Wang L , Ren Y , Gao YZ . Estimating patient-specific and anato-mically correct reference model for craniomaxillofacial deformity via sparse representation[J]. Med Phys, 2015, 42 (10): 5809- 5816.
doi: 10.1118/1.4929974 |
| 8 | Li Z , Teng S , Cheng Y , et al. Craniomaxillofacial deformity correction via sparse representation in coherent space[J]. IEEE Access, 2015, 8, 69- 76. |
| 9 |
Cheung LK , Chan YM , Jayaratne YSN , et al. Three-dimensional cephalometric norms of Chinese adults in Hong Kong with balanced facial profile[J]. Oral Surg Oral Med Oral Pathol Oral Radiol Endod, 2011, 112 (2): e56- e73.
doi: 10.1016/j.tripleo.2011.02.045 |
| 10 |
Fagertun J , Harder S , Rosengren A , et al. 3D facial landmarks: Inter-operator variability of manual annotation[J]. BMC Med Imaging, 2014, 14 (1): 1- 9.
doi: 10.1186/1471-2342-14-1 |
| 11 | Paulsen RR, Juhl KA, Haspang TM, et al. Multi-view consensus CNN for 3D facial landmark placement[C]. Cham: Springer, 2019. |
| 12 | Rusinkiewicz S, Levoy M. Efficient variants of the ICP algorithm[C]. Quebec City: IEEE, 2001. |
| 13 |
Lo LJ , Weng JL , Ho CT , et al. Three-dimensional region-based study on the relationship between soft and hard tissue changes after orthognathic surgery in patients with prognathism[J]. PLoS One, 2018, 13 (8): e0200589.
doi: 10.1371/journal.pone.0200589 |
| 14 | Gopika N, MKME A. Correlation based feature selection algorithm for machine learning[C]. Cairo: IEEE, 2018. |
| 15 |
Rupperti S , Winterhalder P , Krennmair S , et al. Changes in the facial soft tissue profile after maxillary orthognathic surgery[J]. J Orofac Orthop, 2022, 83 (3): 215- 220.
doi: 10.1007/s00056-021-00294-2 |
| 16 | Hou L , He Y , Yi B , et al. Evaluation of soft tissue prediction accuracy for orthognathic surgery with skeletal class Ⅲ malocclusion using maxillofacial regional aesthetic units[J]. Clin Oral Investig, 2023, 27 (1): 173- 182. |
| 17 |
Olivetti EC , Nicotera S , Marcolin F , et al. 3D soft-tissue prediction methodologies for orthognathic surgery: A literature review[J]. Appl Sci, 2019, 9 (21): 4550.
doi: 10.3390/app9214550 |
| [1] | Lu YU, Ling WU, Xiaojing LIU, Zili LI. Feasibility study of a surgical planning protocol for orthognathic surgery utilizing similarity retrieval from database: A randomized controlled trial [J]. Journal of Peking University (Health Sciences), 2026, 58(1): 145-152. |
|
||