Novel geometric coordination registration in cone-beam computed Tomogram

Walter Y.H. Lam, Henry Y T NGAN, Peter Y.P. Wat, Henry W.K. Luk, Edmond H.N. Pow, Tazuko K. Goto

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2014 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
EditionFebruary
ISBN (Electronic)9781479959211
DOIs
Publication statusPublished - 12 Feb 2015
Event2014 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2014 - Washington, United States
Duration: 14 Oct 201416 Oct 2014

Publication series

NameProceedings - Applied Imagery Pattern Recognition Workshop
NumberFebruary
Volume2015-February
ISSN (Print)2164-2516

Conference

Conference2014 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2014
Country/TerritoryUnited States
CityWashington
Period14/10/1416/10/14

Scopus Subject Areas

  • Engineering(all)

User-Defined Keywords

  • Cartesian coordinates
  • Cone beam computed tomography
  • mapping
  • measurement
  • Rigid registration

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