Chinese Journal of Tissue Engineering Research ›› 2010, Vol. 14 ›› Issue (39): 7319-7322.doi: 10.3969/j.issn.1673-8225.2010.39.024

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The study of registration of structured-light 3D facial data with spiral CT images of the maxillofacial defect

Qiu Jing 1, 2, Sun Jian1, Ye Ming3, Xiong Yao-yang1, Gu Xiao-yu1, Zhang Fu-qiang1   

  1. 1 Department of Prosthodontics, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology. Shanghai  200011, China; 2 Department of Prosthodontics, Stomatology Hospital of Jiangsu Province, Nanjing  210029, Jiangsu Province, China; 3School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai  200240, China
  • Online:2010-09-24 Published:2010-09-24
  • Contact: Zhang Fu-qiang, Professor, Chief physician, Doctoral supervisor, Department of Prosthodontics, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology. Shanghai 200011, China fredzc@online.sh.cn
  • About author:Qiu Jing☆, Studying for doctorate, Attending physician, Lecturer, Department of Prosthodontics, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Stomatology. Shanghai 200011, China; Department of Prosthodontics, Stomatology Hospital of Jiangsu Province, Nanjing 210029, Jiangsu Province, China shear.qiu@163.com
  • Supported by:

    Shanghai Municipal Economic and Infomatization Commission, No. 0801031*; the National Natural Science Foundation of China, No. 30901694*

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Abstract:

BACKGROUND: No single technique can provide sufficient information to reconstruct a 3D model of a facial defect for clinical prosthetic treatment. Therefore, if it is possible to superimpose 3D optical soft-tissue image onto 3D CT scan data of a facial defect, this would provide enough information for diagnosis, planning, and treatment with high-resolution soft-tissue surface over the skull structure.
OBJECTIVE: To assess the feasibility of merging surface images obtained individually by spiral CT scan and the structured-light scanning to develop an accurate, as well as complete, 3D virtual patient model of maxillofacial defect combined with internal bone structures for prosthetic treatment.
METHODS: A patient with an extensive and complex maxillofacial defect was selected from Department of Prosthodontics, Ninth People’s Hospital. A fast structured-light scanning of the face using TDOS system and a spiral CT scan of the head were performed respectively. 3D reconstructions were correspondingly accomplished by Geomagic studio and CAD-FacePros. Using CAD-FacePros, the structured-light surface was surperimposed on the reconstructed CT soft-tissue surface using initial positioning based on corresponding landmarks and fine registration completed by the iterative closest point algorithm (ICP). Through the use of CAD-FacePros, the registration errors were measured by calculating the discrepancy between the transformed structured-light and CT soft-tissue surfaces.
RESULTS AND CONCLUSION: Using the registration method, an accurate and complete 3D virtual patient model of maxillofacial defect with underlying skeletal structure was acquired. The average registration error was 0.5 mm. The errors were within 1.0 mm in most parts of the aligned surfaces and were relatively large around the cheeks. A structured-light surface and spiral CT images can be superimposed to create an accurate and complete 3D virtual patient model of maxillofacial defect with underlying skeletal structure using the registration method.

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