Xiaojun Chen

Prof. Dr. Xiaojun Chen

Institute of Biomedical Manufacturing, School of Mechanical Engineering Shanghai Jiao Tong University, Shanghai, China

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 December 2020 in Expert Review of Medical Devices
Verified
Journal Article
Closed access
ALAbel J Lungu
Abel J Lungu
WSWout Swinkels
Wout Swinkels
LCLuc Claesen
Luc Claesen
PTPuxun Tu
Puxun Tu
JEJan Egger
Jan Egger
XCXiaojun Chen
Xiaojun Chen
Research proves that the apprenticeship model, which is the gold standard for training surgical residents, is obsolete. For that reason, there is a continuing effort towards the development of high...

1 June 2015 in Journal of Biomedical Informatics
Verified
Journal Article
Closed access
XCXiaojun Chen
Xiaojun Chen
LXLu Xu
Lu Xu
YWYiping Wang
Yiping Wang
HWHuixiang Wang
Huixiang Wang
FWFang Wang
Fang Wang
JEJan Egger
Jan Egger

16 November 2015 in International Orthopaedics
Verified
Journal Article
Closed access
PDF file
HWHuixiang Wang
Huixiang Wang
FWFang Wang
Fang Wang
ALAnthony Peng Yew Leong
Anthony Peng Yew Leong
LXLu Xu
Lu Xu
XCXiaojun Chen
Xiaojun Chen
QWQiugen Wang
Qiugen Wang

1 March 2016 in Computer Methods and Programs in Biomedicine
Verified
Journal Article
Closed access
XCXiaojun Chen
Xiaojun Chen
LXLu Xu
Lu Xu
YWYiping Wang
Yiping Wang
YHYongqiang Hao
Yongqiang Hao
LWLiao Wang
Liao Wang

31 October 2019 in Medical Engineering & Physics
Verified
Journal Article
Closed access
ZCZhenggang Cao
Zhenggang Cao
CQChunxia Qin
Chunxia Qin
SFShengchi Fan
Shengchi Fan
DYDedong Yu
Dedong Yu
Yiqun WuYiqun Wu
Yiqun Wu
XCXiaojun Chen
Xiaojun Chen
Zygomatic implant technology has been regarded as an alternative treatment to massive grafting surgery in the severe atrophic maxillary. Nowadays, the assistant method with a real-time surgical navigation has been applied to reduce the risks of zygomatic implant placement. However, the accuracy of the complex operation is highly dependent on the experience of the surgeon. In order to avoid disadvantages of traditional surgical navigation systems, a novel surgical robot system for the zygomatic implant placement has been designed and developed. Firstly, the drilling trajectory of the zygomatic implant placement is designed through the pre-operative planning system. Secondly, the real-time positions of the surgical instruments are constantly updated with the guidance of the optical tracker. Finally, through a coordinate transformation algorithm, the drilling performance can be conducted with the control of a six degree of freedom robot. In order to evaluate the accuracy of the robot, phantom experiments had been carried out. The angle, entry point and exit point deviation of the robotic system are 1.52 ± 0.58°, 0.79 ± 0.19 mm, and 1.49 ± 0.48 mm, respectively. Meanwhile, a comparison between the robotic and manual operation demonstrates that the use of the surgical robot system for the zygomatic implant placement can improve the accuracy of the operation.

12 March 2020 in Expert Review of Medical Devices
Verified
Journal Article
Closed access
AMAfaque Rafique Memon
Afaque Rafique Memon
EWEnpeng Wang
Enpeng Wang
JHJunlei Hu
Junlei Hu
JEJan Egger
Jan Egger
XCXiaojun Chen
Xiaojun Chen
Introduction: Various prefabricated maxillofacial implants are used in the clinical routine for the surgical treatment of patients. In addition to these prefabricated implants, customized CAD/CAM implants become increasingly important for a more precise replacement of damaged anatomical structures. This paper reviews the design and manufacturing of patient-specific implants for the maxillofacial area. Areas covered: The contribution of this publication is to give a state-of-the-art overview in the usage of customized facial implants. Moreover, it provides future perspectives, including 3D printing technologies, for the manufacturing of patient-individual facial implants that are based on patient’s data acquisitions, like Computed Tomography (CT) or Magnetic Resonance Imaging (MRI). Expert opinion: The main target of this review is to present various designing software and 3D manufacturing technologies that have been applied to fabricate facial implants. In doing so, different CAD designing software’s are discussed, which are based on various methods and have been implemented and evaluated by researchers. Finally, recent 3D printing technologies that have been applied to manufacture patient-individual implants will be introduced and discussed.