Key Dates
May or June, 2022
March, 2022
Abstract Submission Deadline
May or June, 2022
Online Registration Deadline
May or June, 2022
On-site Registration Dates




Computer-Aided Patient Specific Porous Implant Design for 3D Printing in Maxillofacial Surgery






陈晓军:上海交通大学教授、博士生导师曾任哈佛大学法国国家科学研究中心(CNRS)比利时鲁汶大学、英国谢菲尔德大学等访问学者。研究领域为计算机辅助手术,包括:人工智能与医学图像处理、手术规划与导航、VR/AR/MR手术、医疗机器人、医疗器械数字化设计制造等。主持国家自然科学基金7项、国家重点研发计划课题、以及其它国家/省部级项目30,在IEEE TMIMedical Image Analysis权威期刊发表论文200余篇,主编英文专著2部,参编专著15部,授权国家发明专利10项,PCT国际专利2。获:国家科技进步奖二等奖(排32019、法国科研创新人才计划(FTI,全国共7名,2011)、上海市浦江人才计划(2013)、上海市白玉兰科技人才基金(2011)、上海市科协飞翔计划(2014)、上海市科技进步奖二等奖(2010)、江苏省科学技术奖三等奖(排12017)、上海医学科技奖 (2008)、华夏医学科技奖(2016)、中华口腔医学会科技奖二等奖(2018)等。任本领域九本权威SCI期刊副主编或编委,首届全国医用机器人标准化技术归口单位专家组成员、国际数字口腔医学学会(DDS)理事会委员、国际矫形与创伤外科学会(SICOT)中国部数字骨科学会委员、中国整形美容协会精准与数字医学分会理事、颅颌面整复专业委员会副主任委员、中国图象图形学学会(CSIG)医学影像专业委员会委员 


With the development of computer-aided design and manufacturing, patient specific porous implants by 3D-printing are used in maxillofacial surgery increasingly. However, individual porous implant design is certainly complicated, and the objective of this study is to propose a computer-aided method for intelligent porous implant design in maxillofacial surgery.


An efficient porous implant design algorithm is proposed using the follow steps: 1) Create sample points by bounding box. 2) Obtain distance field function of unit. 3) Extract the isosurface as porous model. Based on this algorithm, a smart software named EasyImplant is developed for porous implant design using some open-source toolkits, such as QT, Visualization Toolkit (VTK) and Computational Geometry Algorithms Library (CGAL). An example using this software for porous zygoma implant design is shown in Figure 1(a-i)


An animal experiment was performed using EasyImplant. After the implant was designed, it was manufactured by Concept Laser M2 Cusing 3D printer (material:Ti6AL4V), and then placed in a beagle dog. According to follow-up of the image of the hard tissue slice three months after operation, new bone and collagen tissues have grown into the pores of the implant, which shows the reliability of our method.

Discussion & Conclusion

In the near future, clinical trials will be conducted to validate the feasibility of our software. With the growing need of patient specific implants, the method proposed in this study may improve the design efficiency and save surgical costs.