DocumentCode
3059154
Title
3-D reconstruction of a surface model of the proximal femur from digital biplanar radiographs
Author
Zheng, Guoyan ; Schumann, Steffen
Author_Institution
MEM Research Center, University of Bern, CH-3014, Switzerland
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
66
Lastpage
69
Abstract
Twenty-two femurs (one plastic bone and twenty-one cadaveric bones) with both nonpathologic and pathologic cases were considered to validate a point distribution model based three-dimensional (3-D) reconstruction technique using digital biplanar radiographs. The 3-D reconstruction technique is based on an iterative non-rigid registration of the features extracted from a statistically instantiated 3-D surface model to those identified from the radiographs. The surface models reconstructed from the radiographs were compared to the associated ground truths derived either from a 3-D CT-scan reconstruction method or from a 3-D laser-scan reconstruction method. Our experimental results demonstrated that our biplanar reconstruction technique could accurately reconstruct the surface models of both nonpathologic and pathologic femurs (average error distance = 0.9 mm), even when the point distribution model that we used were constructed from surface models of nonpathologic femurs.
Keywords
Bones; Diagnostic radiography; Image reconstruction; Magnetic resonance imaging; Navigation; Orthopedic surgery; Reconstruction algorithms; Spine; Surface reconstruction; Three dimensional displays; Algorithms; Computer Simulation; Femur Head; Humans; Imaging, Three-Dimensional; Models, Anatomic; Pattern Recognition, Automated; Radiographic Image Enhancement; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4649092
Filename
4649092
Link To Document