Jerome Grondin Lazazzera, Derek Cooke, Mike Brean, James Stewart
Collaboration between Queens University, Computing Sciences and OAISYS Inc.
A varied selection of segmented CT image sets were analyzed using a sagittal plane based reference approach for the annotation of key landmarks. This method of 3D analysis is reproducible and has provided new information on knee geometry with good inter-observer reliability. Reconstruction results using 2D renderings from CT images, based on the leave-one-out method, showed promise and viability of our method. Next steps include matching implant dimensional data to SSA; clinical studies of matched CT and 2D imaged cases. Significance: Use of 2D radiographs instead of 3D imaging preoperatively reduces implant inventory, improves access, functional outcomes and reduces costs.
To download the full article click here
This presentation will be presented at CORS session of the COA-AOA meeting June 2014 Montreal