Automated image registration for assessing three-dimensional alignment of entire lower extremity and implant position using bi-plane radiography |
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Authors: | Koichi Kobayashi Makoto Sakamoto Yuji Tanabe Akihiro Ariumi Takashi Sato Go Omori Yoshio Koga |
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Affiliation: | 1. Zuse Institute Berlin, Research Group for Computational Diagnosis and Therapy Planning, Department of Visual and Data-centric Computing, Takustraße 7, Berlin, 14195, Germany;2. Otto von Guericke University Magdeburg, Department of Simulation and Graphics, Universitätsplatz 2, Magdeburg, 39106, Germany |
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Abstract: | An automated image-matching technique is presented to assess alignment of the entire lower extremity for normal and implanted knees and the positioning of implants with respect to bone. Sawbone femur and tibia and femoral and tibial components of a total knee arthroplasty system were used. Three spherical markers were attached to each sawbone and each component to define the local coordinate system. Outlines of the three-dimensional (3D) bone models and component computer-aided design (CAD) models were projected onto extracted contours of the femur, tibia, and implants in frontal and oblique X-ray images. Three-dimensional position of each model was recovered by minimizing the difference between the projected outline and the contour. Median values of the absolute error in estimating relative positions were within 0.5 mm and 0.6° for the femur with respect to the tibia, 0.5 mm and 0.5° for the femoral component with respect to the tibial component, 0.6 mm and 0.6° for the femoral component with respect to the femur, and 0.5 mm and 0.4° for the tibial component with respect to the tibia, indicating significant improvements when compared to manually obtained results. |
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