A new method for CT to fluoroscope registration based on unscented kalman filter

Authors:
Ren Hui Gong;A. James Stewart;Purang Abolmaesumi
Affiliations:
School of Computing, Queen’s University, Kingston, ON, Canada;School of Computing, Queen’s University, Kingston, ON, Canada;School of Computing, Queen’s University, Kingston, ON, Canada
Venue:
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Year:
2006

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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.