Paper
23 February 2010 Application of collision detection to assess implant insertion in elbow replacement surgery
O. Remus Tutunea-Fatan, Joshua H. Bernick, Emily Lalone, Graham J. W. King, James A. Johnson
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Abstract
An important aspect of implant replacement of the human joint is the fit achieved between the implant and bone canal. As the implant is inserted within the medullary canal, its position and orientation is subjected to a variety of constraints introduced either by the external forces and moments applied by the surgeon or by the interaction of the implant with the cortical wall of the medullary canal. This study evaluated the implant-bone interaction of a humeral stem in elbow replacement surgery as an example, but the principles can also be applied to other joints. After converting CT scan data of the humerus to the parametric NURBS-based representation, a collision detection procedure based on existing Computer-Aided Engineering techniques was employed to control the instantaneous kinematics and dynamics of the insertion of a humeral implant in an attempt to determine its final posture within the canal. By measuring the misalignment between the native flexion-extension (FE) axis of the distal humerus and the prosthesis, a prediction was made regarding the fit between the canal and the implant. This technique was shown to be effective in predicting the final misalignment of the implant axis with respect to the native FE axis of the distal humerus using a cadaver specimen for in-vitro validation.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
O. Remus Tutunea-Fatan, Joshua H. Bernick, Emily Lalone, Graham J. W. King, and James A. Johnson "Application of collision detection to assess implant insertion in elbow replacement surgery", Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 76251K (23 February 2010); https://doi.org/10.1117/12.840548
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CITATIONS
Cited by 3 scholarly publications and 2 patents.
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KEYWORDS
Bone

Computed tomography

Kinematics

3D modeling

Surgery

Solids

Data conversion

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