ETRI Journal

Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Automatic Surface Matching for the Registration of LIDAR Data and MR Imagery

  • Habib, Ayman F. (Department of Geomatics Engineering, University of Calgary) ;
  • Cheng, Rita W.T. (Department of Geomatics Engineering, University of Calgary) ;
  • Kim, Eui-Myoung (Department of Geomatics Engineering, University of Calgary) ;
  • Mitishita, Edson A. (Department of Geomatics, The Federal University of Parana) ;
  • Frayne, Richard (Department of Radiology and Clinical Neurosciences, University of Calgary) ;
  • Ronsky, Janet L. (Department of Mechanical and Manufacturing Engineering, University of Calgary)
  • Received : 2005.06.10
  • Published : 2006.04.30
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Abstract

Several photogrammetric and geographic information system applications such as surface matching, object recognition, city modeling, environmental monitoring, and change detection deal with multiple versions of the same surface that have been derived from different sources and/or at different times. Surface registration is a necessary procedure prior to the manipulation of these 3D datasets. This need is also applicable in the field of medical imaging, where imaging modalities such as magnetic resonance imaging (MRI) can provide temporal 3D imagery for monitoring disease progression. This paper will present a general automated surface registration procedure that can establish correspondences between conjugate surface elements. Experimental results using light detection and ranging (LIDAR) and MRI data will verify the feasibility, robustness, and accuracy of this approach.

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