Construction and measurement of three-dimensional craniofacial data model for Mongolian adults

CHEN Hua ZHOU Jian-jun

Acta Anatomica Sinica ›› 2026, Vol. 57 ›› Issue (1) : 10-16.

PDF(2798 KB)
Welcome to visit Acta Anatomica Sinica! Today is Chinese
PDF(2798 KB)
Acta Anatomica Sinica ›› 2026, Vol. 57 ›› Issue (1) : 10-16. DOI: 10.16098/j.issn.0529-1356.2026.01.002
Robotics and Surgical Navigation Column

Construction and measurement of three-dimensional craniofacial data model for Mongolian adults

  • CHEN Hua1,2*, ZHOU Jian-jun3*
Author information +
History +

Abstract

Objective  To construct a three-dimensional data model of the craniofacial region of Mongolian adults, analyze its morphological characteristics, and explore its application value in craniofacial plastic and reconstructive surgery. MethodsThree-dimensional digital models of the soft tissues of the craniofacial region of 300 Mongolian adults(150 males and 150 females) were obtained using three-dimensional laser scanning technology (3D laser scanning), and compared with the results of traditional manual measurements for statistical analysis. ResultsThere was no significant statistical difference between the result of three-dimensional laser scanning technology and manual measurements (P>0.05). The obtained data had high accuracy and good repeatability, and could comprehensively reflect the morphological characteristics of the craniofacial region of Mongolian adults. ConclusionThree-dimensional laser scanning technology provides an efficient and accurate method for the reconstruction and measurement of craniofacial soft tissues, offering reliable quantitative indicators for preoperative design, postoperative effect evaluation, and aesthetic analysis, and providing important morphological basis for craniofacial plastic and reconstructive surgery in Mongolian adults.

Key words

Mongolian / Craniofacial region / Three-dimensional laser scanning / Plastic and reconstructive surgery / Measurement / Adult

Cite this article

Download Citations
CHEN Hua ZHOU Jian-jun. Construction and measurement of three-dimensional craniofacial data model for Mongolian adults[J]. Acta Anatomica Sinica. 2026, 57(1): 10-16 https://doi.org/10.16098/j.issn.0529-1356.2026.01.002

References

[1]Yu ZhW, Zhong H, Pema D, et al. Limited applicability of neoclassical facial canons in Tibetan youth: 2D photogrammetry evaluation[J]. J Craniofac Surg, 2025, 36(6): e646-e650.
[2]Wang X, Zhang ZhK, Wang HJ, et al. Study on soft tissue X-ray morphological measurements of facial side views of beautiful people in China[J]. Chinese Journal of Stomatology, 1998, 33(3): 131-134. (in Chinese)
王兴,张震康,王洪君,等. 中国美貌人群颜面侧貌软组织X线头影测量研究[J]. 中华口腔医学杂志, 1998, 33(3): 131-134.
[3]Harrison LM, Ferrari EJ, Mathew DP, et al. Three-dimensional analysis of facial asymmetry in unilateral lambdoid craniosynostosis[J]. Cleft Palate Craniofac J, 2024, 61(10): 1619-1624.
[4]Farkas LG. Introduction to anthropometry of the head and face. In: Farkas LG, ed. Anthropometry of the Head and Face[M]. 2nd ed. New York: Raven Press, 1994: 1-8.
[5]Farkas LG, Katie MJ, Forrest CR. International anthropometric study of facial morphology in various ethnic groups/races[J]. J Craniofac Surg, 2005, 16(4): 615-646.
[6]Gui L, Zuo F, Fan ZhF, et al. Three-dimensional measurement and aesthetic analysis of facial features of young women in Beijing[J]. Chinese Journal of Plastic Surgery, 2004, 20(3): 204-207. (in Chinese)
归来,左锋,樊征夫,等. 北京地区青年女性面部三维测量与美学分析[J]. 中华整形外科杂志, 2004, 20(3): 204-207.
[7]Weinberg SM, Naidoo S, Govier DP, et al. Anthropometric precision and accuracy of digital three-dimensional photogrammetry: comparing the Genex and 3dMD imaging systems with one another and with direct anthropometry[J]. J Craniofac Surg, 2006, 17(3): 477-483.
[8]Bian G, Shen Z, Yuan Y, et al. Dynamic 3D facial expression capture and its application in facial reanimation surgery planning[J]. J Plast Reconstr Aesthet Surg, 2023, 86: 1-10.
[9]Su Y, Chaudhry Z, Liu Y, et al. A new paradigm for complex craniomaxillofacial surgery planning using virtual surgery and 3D printing[J]. Oral Maxillofac Surgery Clin, 2022, 34(1): 1-15.
[10]Alterman N, Ticha L, Frolova KP, et al. The role of 3D facial scanning in the assessment of syndromic and non-syndromic facial phenotypes: a systematic review[J]. J Craniomaxillofac Surg, 2021, 49(5): 389-397.
[11]Zhang X, Zhang Y, Liu Y, et al. Clinical application of 3D-printed patient-specific plates for reconstruction of mandibular defects[J]. Plast Reconstr Surg, 2022, 150(2): 385-394.
[12]Xie Z, Li Q, Li C, et al. A deep learning framework for predicting dynamic facial changes following orthognathic surgery[J]. IEEE Trans Med Imaging, 2023, 42(4): 1051-1061.
[13]Li JY, Wang Y, Wang XJ. Construction of three-dimensional average facial model for northern Han Chinese women and its application in facial morphological aging research[J]. Chinese Journal of Plastic Surgery, 2019, 35(7): 628-633. (in Chinese)
李靖宇,王燕,王晓军. 北方汉族女性三维平均脸构建应用于面部形态衰老研究[J]. 中华整形外科杂志, 2019, 35(7): 628-633.
[14]Liu Y, Wang Y, Zhang L, et al. Accuracy assessment of a new high-resolution structured-light 3D facial scanner: implications for clinical and research applications[J]. Int J Oral Maxillofac Surg, 2024, 53(1): 112-118.
[15]Lee JH, Cho HJ, Kim SJ, et al. Deep learning-based prediction of soft tissue changes after orthognathic surgery[J]. Sci Rep, 2023, 13(1): 1234.

PDF(2798 KB)

Accesses

Citation

Detail

Sections
Recommended

/