颅颌面整形修复是医学领域研究热点和焦点，蒙古族颅颌面部与其他民族有显著差异，因此探讨骨、软组织三维空间结构变化对容貌的影响，进行科学、准确的三维数字建模，再基于颅颌面三维模型进行容貌仿真分析，从而提高蒙古族颅颌面整形手术理论和技术。. 本研究拟引入数字化人体建模领域知识，来指导颅颌面骨、软组织形变模型构建的基本方法与框架体系，依据人体运动规律及约束机制来调控颅颌面形态与功能仿真的核心思路，进行蒙古族颅颌面骨、软组织的三维建模与形态参数测量，构建三维数据库，探讨根据不同手术类型或术式，基于力反馈，利用虚拟现实技术进行个性化颅颌面畸形手术仿真平台，实时交互式操作，优化手术方案，对术前选择最佳手术路径、术后预测效果、降低并发症、提高手术成功率具有重要意义，在数字化领域为蒙古族颅颌面数字化精细形变仿真模型建立，及动态模拟提供相应技术平台，为临床、科研和教学发展奠定基础。

Cranial and maxillofacial plastic repair is a hot spot and focus in the field of medicine. The Mongolian cranial and maxillofacial region and other ethnic groups have significant differences. Study the Mongolian adult cranial and maxillofacial bone tissue forms of three-dimensional modeling and parameter measurement. Exploring the bone tissue three-dimensional structure change influence on appearance，3 D model based on cranial and maxillofacial appearance simulation analysis. To Improve the Mongolian cranial and maxillofacial plastic surgery theory and technology.. This study intends to introduce the digital human body modeling domain knowledge, To guide the cranial and maxillofacial bone soft tissue deformation model to construct the basic method and framework. On the basis of human movement rules and constraint mechanism to regulate cranial and maxillofacial morphology and function simulation of the core ideas, to forms of three-dimensional modeling and parameter measurement and build 3 D database for Mongolian cranial and maxillofacial bone tissue.According to the different operation types or operation , based on force feedback, using virtual reality technology for personalized cranial and maxillofacial deformity surgery simulation platform. Real-time interactive operation, optimize the operation scheme, to choose the best surgery preoperative path prediction effect to reduce postoperative complications Improve the success rate of surgery is of great significance. In the field of digital fine for Mongolian cranial and maxillofacial deformation simulation model was established, and dynamic simulation to provide corresponding technical platform, lay the foundation for development of clinical scientific research and teaching.