Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/inderscience-publishers/biometrical-approach-in-the-pelvis-surgical-reconstructive-treatment-D0gHvzp32i
References (7)
-
W. Lorensen, H. Cline (1998)
Marching cubes: a high resolution 3D surface construction algorithmSeminal graphics: pioneering efforts that shaped the field
-
I. Jolliffe (2002)
Principal Component Analysis -
F. Bookstein (1989)
Principal Warps: Thin-Plate Splines and the Decomposition of DeformationsIEEE Trans. Pattern Anal. Mach. Intell., 11
-
S. Zachow, H. Lamecker, Barbara Elsholtz, M. Stiller (2005)
Reconstruction of mandibular dysplasia using a statistical 3D shape model, 1281
-
D. Whitlark, G. Dunteman (1990)
Principal Components AnalysisJournal of Marketing Research, 27
-
Tim Cootes, C. Taylor, D. Cooper, J. Graham (1992)
Training Models of Shape from Sets of Examples -
J. Buikstra, D. Ubelaker (1994)
Standards for Data Collection from Human Skeletal Remains
- Publisher
- Inderscience Publishers
- Copyright
- Copyright © Inderscience Enterprises Ltd. All rights reserved
- ISSN
- 1755-8301
- eISSN
- 1755-831X
- DOI
- 10.1504/IJBM.2011.037715
- Publisher site
- See Article on Publisher Site
Abstract
The surgical reconstructive treatment in the pelvis area is induced mostly by the bone tumour resection. This paper presents a new method for computer-assisted reconstructive surgery-planning based on the pelvis statistical shape model. A clinical pelvis reconstruction case will demonstrate the usefulness and robustness of the statistical shape models in the oncologic surgery planning. In addition, a quantitative evaluation of the matching quality will be given. By creating the statistical shape model, we get a mathematically defined mean pelvic geometry. Knowledge about the statistical pelvic shape can have wide application in pelvimetry.
Journal
International Journal of Biometrics – Inderscience Publishers
Published: Jan 1, 2011