File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Novel geometric coordination registration in cone-beam computed tomogram

TitleNovel geometric coordination registration in cone-beam computed tomogram
Authors
KeywordsCartesian coordinates
Cone beam computed tomography
Mapping
Measurement
Rigid registration
Issue Date2014
PublisherIEEE, 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?
AbstractThe 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.
DescriptionPaper ID: AIPR-140701-9
Persistent Identifierhttp://hdl.handle.net/10722/214776
ISSN

 

DC FieldValueLanguage
dc.contributor.authorLam, WYH-
dc.contributor.authorNgan, HYT-
dc.contributor.authorWat, PYP-
dc.contributor.authorLuk, HWK-
dc.contributor.authorPow, EHN-
dc.contributor.authorGoto, TK-
dc.date.accessioned2015-08-21T11:55:19Z-
dc.date.available2015-08-21T11:55:19Z-
dc.date.issued2014-
dc.identifier.citationThe 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.issn1550-5219-
dc.identifier.urihttp://hdl.handle.net/10722/214776-
dc.descriptionPaper ID: AIPR-140701-9-
dc.description.abstractThe 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.languageeng-
dc.publisherIEEE, Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000046-
dc.relation.ispartofApplied Imagery Pattern Recognition Workshop Proceedings-
dc.rightsApplied Imagery Pattern Recognition Workshop Proceedings. Copyright © IEEE, Computer Society.-
dc.rights©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectCartesian coordinates-
dc.subjectCone beam computed tomography-
dc.subjectMapping-
dc.subjectMeasurement-
dc.subjectRigid registration-
dc.titleNovel geometric coordination registration in cone-beam computed tomogram-
dc.typeConference_Paper-
dc.identifier.emailLam, WYH: retlaw@hku.hk-
dc.identifier.emailNgan, HYT: ytngan@hku.hk-
dc.identifier.emailLuk, HWK: wkluka@hkucc.hku.hk-
dc.identifier.emailPow, EHN: ehnpow@hku.hk-
dc.identifier.emailGoto, TK: gototk@hku.hk-
dc.identifier.authorityLuk, HWK=rp00008-
dc.identifier.authorityPow, EHN=rp00030-
dc.identifier.authorityGoto, TK=rp01434-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/AIPR.2014.7041922-
dc.identifier.scopuseid_2-s2.0-84937902054-
dc.identifier.hkuros248321-
dc.identifier.spage1-
dc.identifier.epage6-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 150909-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats