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A New Method for CT to Fluoroscope Registration Based on Unscented Kalman Filter

  • Ren Hui Gong
  • A. James Stewart
  • Purang Abolmaesumi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4190)

Abstract

We propose a new method for CT to fluoroscope registration which is very robust and has a wide capture range. The method relies on the Unscented Kalman Filter to search for an optimal registration solution and on modern commodity graphics cards for fast generation of digitally reconstructed radiographs. We extensively test our method using three different anatomical data sets and compare it with an implementation of the commonly used simplex-based method. The experimental results firmly support that, under the same testing conditions, our proposed technique outperforms the simplex-based method in capture range while providing comparable accuracy and computation time.

Keywords

Unscented Kalman Filter Target Registration Error Unscented Transform Capture Range Scaphoid Bone 
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 2006

Authors and Affiliations

  • Ren Hui Gong
    • 1
  • A. James Stewart
    • 1
  • Purang Abolmaesumi
    • 1
  1. 1.School of ComputingQueen’s UniversityKingstonCanada

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