2D/3D Deformable Registration Using a Hybrid Atlas

  • Thomas S. Y. Tang
  • Randy E. Ellis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3750)

Abstract

Statistical atlases built by point distribution models (PDMs) using a novel hybrid 3D shape model were used for surface reconstruction. The hybrid shape model removes the need for global scaling in aligning training examples and instance generation, thereby allowing the PDM to capture a wider range of variations. The atlases can be used to reconstruct, or deformably register, the surface model of an object from just two to four 2D x-ray projections of the object. The methods was tested using proximal and distal femurs. Results of simulated projections and fluoroscopic images of cadaver knees show that the new instances can be registered with an accuracy of about 2 mm.

Keywords

Distal Femur Shape Model Cadaver Knee Statistical Shape Model Deformable Registration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Thomas S. Y. Tang
    • 1
  • Randy E. Ellis
    • 1
  1. 1.School of ComputingQueen’s UniversityKingstonCanada

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