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

Weibing Wan; Pengfei Shi; Shuguang Li

doi:10.1117/1.3249667

1 October 2009 Segmentation, surface rendering, and surface simplification of 3-D skull images for the repair of a large skull defect

Weibing Wan, Pengfei Shi, Shuguang Li

Author Affiliations +

Journal of Electronic Imaging, Vol. 18, Issue 4, 043003 (October 2009). https://doi.org/10.1117/1.3249667

Abstract

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.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download 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," Journal of Electronic Imaging 18(4), 043003 (1 October 2009). https://doi.org/10.1117/1.3249667

Published: 1 October 2009

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