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Conference Paper: Novel geometric coordination registration in cone-beam computed tomogram
Title | Novel geometric coordination registration in cone-beam computed tomogram |
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Authors | |
Keywords | Cartesian coordinates Cone beam computed tomography Mapping Measurement Rigid registration |
Issue Date | 2014 |
Publisher | IEEE, Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000046 |
Citation | The 2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC., 14-16 October 2014. In Applied Imagery Pattern Recognition Workshop Proceedings, 2014, p. 1-6 How to Cite? |
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. © 2014 IEEE. |
Description | Paper ID: AIPR-140701-9 |
Persistent Identifier | http://hdl.handle.net/10722/214776 |
ISSN |
DC Field | Value | Language |
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dc.contributor.author | Lam, WYH | - |
dc.contributor.author | Ngan, HYT | - |
dc.contributor.author | Wat, PYP | - |
dc.contributor.author | Luk, HWK | - |
dc.contributor.author | Pow, EHN | - |
dc.contributor.author | Goto, TK | - |
dc.date.accessioned | 2015-08-21T11:55:19Z | - |
dc.date.available | 2015-08-21T11:55:19Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | The 2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC., 14-16 October 2014. In Applied Imagery Pattern Recognition Workshop Proceedings, 2014, p. 1-6 | - |
dc.identifier.issn | 1550-5219 | - |
dc.identifier.uri | http://hdl.handle.net/10722/214776 | - |
dc.description | Paper ID: AIPR-140701-9 | - |
dc.description.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. © 2014 IEEE. | - |
dc.language | eng | - |
dc.publisher | IEEE, Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000046 | - |
dc.relation.ispartof | Applied Imagery Pattern Recognition Workshop Proceedings | - |
dc.subject | Cartesian coordinates | - |
dc.subject | Cone beam computed tomography | - |
dc.subject | Mapping | - |
dc.subject | Measurement | - |
dc.subject | Rigid registration | - |
dc.title | Novel geometric coordination registration in cone-beam computed tomogram | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Lam, WYH: retlaw@hku.hk | - |
dc.identifier.email | Ngan, HYT: ytngan@hku.hk | - |
dc.identifier.email | Luk, HWK: wkluka@hkucc.hku.hk | - |
dc.identifier.email | Pow, EHN: ehnpow@hku.hk | - |
dc.identifier.email | Goto, TK: gototk@hku.hk | - |
dc.identifier.authority | Luk, HWK=rp00008 | - |
dc.identifier.authority | Pow, EHN=rp00030 | - |
dc.identifier.authority | Goto, TK=rp01434 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/AIPR.2014.7041922 | - |
dc.identifier.scopus | eid_2-s2.0-84937902054 | - |
dc.identifier.hkuros | 248321 | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 6 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 150909 | - |
dc.identifier.issnl | 1550-5219 | - |