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Segmentation, surface rendering, and surface simplification of 3-D skull images for the repair of a large skull defect

[+] Author Affiliations
Weibing Wan

Shanghai Jiaotong University, Institute of Image Processing and Pattern Recognition, Shanghai, China

Pengfei Shi

Shanghai Jiaotong University, Institute of Image Processing and Pattern Recognition, Shanghai, China

Shuguang Li

Shanghai Jiaotong University, Institute of Image Processing and Pattern Recognition, Shanghai, China

J. Electron. Imaging. 18(4), 043003 (October 15, 2009). doi:10.1117/1.3249667
History: Received February 25, 2009; Revised August 30, 2009; Accepted September 03, 2009; Published October 15, 2009
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Given the potential demonstrated by research into bone-tissue engineering, the use of medical image data for the rapid prototyping (RP) of scaffolds is a subject worthy of research. Computer-aided design and manufacture and medical imaging have created new possibilities for RP. Accurate and efficient design and fabrication of anatomic models is critical to these applications. We explore the application of RP computational methods to the repair of a pediatric skull defect. The focus of this study is the segmentation of the defect region seen in computerized tomography (CT) slice images of this patient’s skull and the three-dimensional (3-D) surface rendering of the patient’s CT-scan data. We see if our segmentation and surface rendering software can improve the generation of an implant model to fill a skull defect.

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© 2009 SPIE and IS&T

Citation

Weibing Wan ; Pengfei Shi and Shuguang Li
"Segmentation, surface rendering, and surface simplification of 3-D skull images for the repair of a large skull defect", J. Electron. Imaging. 18(4), 043003 (October 15, 2009). ; http://dx.doi.org/10.1117/1.3249667


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