DocumentCode
1865931
Title
Articulated registration of 3D human geometry to X-ray image
Author
Le, Sang N. ; Karlekar, Jayashree ; Fang, Anthony C.
Author_Institution
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
1108
Lastpage
1111
Abstract
A fully automatic 3D-2D articulated registration algorithm for aligning a whole-body human geometry to a 2D X-ray image is presented. Domain prior in the form of a hierarchical model encapsulating the kinematic structure of the human body is exploited. A deformation operator is then defined with respect to the hierarchical model. An iterative search using ICP is performed to estimate the optimal deformation parameters. Empirical results indicate good matching rates of 94% and above. Requiring minimal user intervention, the method is suited for large-scale data acquisition in human anthropometric studies.
Keywords
X-ray imaging; biomedical imaging; data acquisition; data encapsulation; image registration; iterative methods; search problems; 2D X-ray image; 3D human geometry; 3D-2D articulated registration algorithm; ICP; articulated registration algorithm; deformation operator; hierarchical model encapsulation; human anthropometric study; iterative search; kinematic structure; large-scale data acquisition; minimal user intervention; optimal deformation parameters; whole-body human geometry; Biological system modeling; Data acquisition; Deformable models; Geometry; Humans; Iterative algorithms; Iterative closest point algorithm; Kinematics; Large-scale systems; X-ray imaging; 3D-2D registration; articulated registration; human geometry segmentation; human stick/wire model; model-image registration;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1522-4880
Print_ISBN
978-1-4244-1765-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2008.4711953
Filename
4711953
Link To Document