DocumentCode :
118840
Title :
Novel geometric coordination registration in cone-beam computed Tomogram
Author :
Lam, Walter Y. H. ; Ngan, Henry Y. T. ; Wat, Peter Y. P. ; Luk, Henry W. K. ; Pow, Edmond H. N. ; Goto, Tazuko K.
Author_Institution :
Fac. of Dentistry, Univ. of Hong Kong, Pokfulam, China
fYear :
2014
fDate :
14-16 Oct. 2014
Firstpage :
1
Lastpage :
6
Abstract :
The use of cone-beam computed tomography (CBCT) in medical field can help the clinicians to visualize the hard tissues in head and neck region via a cylindrical field of view (FOV). The images are usually presented with reconstructed three-dimensional (3D) imaging and its orthogonal (x-, y- and z-planes) images. Spatial relationship of the structures in these orthogonal views is important for diagnosis of diseases as well as planning for treatment. However, the non-standardized positioning of the object during the CBCT data acquisition often induces errors in measurement since orthogonal images cut at different planes might look similar. In order to solve the problem, this paper proposes an effective mapping from the Cartesian coordinates of a cube physically to its respective coordinates in 3D imaging. Therefore, the object (real physical domain) and the imaging (computerized virtual domain) can be linked up and registered. In this way, the geometric coordination of the object/imaging can be defined and its orthogonal images would be fixed on defined planes. The images can then be measured with vector information and serial imagings can also be directly compared.
Keywords :
computerised tomography; image reconstruction; image registration; medical image processing; 3D image reconstruction; 3D imaging; CBCT; Cartesian coordinates; computerized virtual domain; cone-beam computed tomography; geometric coordination registration; orthogonal image; real physical domain; serial imaging; vector information; Abstracts; Computed tomography; Coordinate measuring machines; Decision support systems; Handheld computers; Q measurement; Cartesian coordinates; Cone beam computed tomography; mapping; measurement; rigid registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Imagery Pattern Recognition Workshop (AIPR), 2014 IEEE
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/AIPR.2014.7041922
Filename :
7041922
Link To Document :
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