@article{WilsonAnglinAmbellanetal., author = {Wilson, David and Anglin, Carolyn and Ambellan, Felix and Grewe, Carl Martin and Tack, Alexander and Lamecker, Hans and Dunbar, Michael and Zachow, Stefan}, title = {Validation of three-dimensional models of the distal femur created from surgical navigation point cloud data for intraoperative and postoperative analysis of total knee arthroplasty}, series = {International Journal of Computer Assisted Radiology and Surgery}, volume = {12}, journal = {International Journal of Computer Assisted Radiology and Surgery}, number = {12}, publisher = {Springer}, doi = {10.1007/s11548-017-1630-5}, pages = {2097 -- 2105}, abstract = {Purpose: Despite the success of total knee arthroplasty there continues to be a significant proportion of patients who are dissatisfied. One explanation may be a shape mismatch between pre and post-operative distal femurs. The purpose of this study was to investigate a method to match a statistical shape model (SSM) to intra-operatively acquired point cloud data from a surgical navigation system, and to validate it against the pre-operative magnetic resonance imaging (MRI) data from the same patients. Methods: A total of 10 patients who underwent navigated total knee arthroplasty also had an MRI scan less than 2 months pre-operatively. The standard surgical protocol was followed which included partial digitization of the distal femur. Two different methods were employed to fit the SSM to the digitized point cloud data, based on (1) Iterative Closest Points (ICP) and (2) Gaussian Mixture Models (GMM). The available MRI data were manually segmented and the reconstructed three-dimensional surfaces used as ground truth against which the statistical shape model fit was compared. Results: For both approaches, the difference between the statistical shape model-generated femur and the surface generated from MRI segmentation averaged less than 1.7 mm, with maximum errors occurring in less clinically important areas. Conclusion: The results demonstrated good correspondence with the distal femoral morphology even in cases of sparse data sets. Application of this technique will allow for measurement of mismatch between pre and post-operative femurs retrospectively on any case done using the surgical navigation system and could be integrated into the surgical navigation unit to provide real-time feedback.}, language = {en} } @misc{WilsonBuecherGreweetal., author = {Wilson, David and B{\"u}cher, Pia and Grewe, Carl Martin and Anglin, Carolyn and Zachow, Stefan and Michael, Dunbar}, title = {Validation of Three Dimensional Models of the Distal Femur Created from Surgical Navigation Point Cloud Data}, series = {15th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS)}, journal = {15th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS)}, language = {en} } @misc{WilsonBuecherGreweetal., author = {Wilson, David and B{\"u}cher, Pia and Grewe, Carl Martin and Mocanu, Valentin and Anglin, Carolyn and Zachow, Stefan and Dunbar, Michael}, title = {Validation of Three Dimensional Models of the Distal Femur Created from Surgical Navigation Data}, series = {Orthopedic Research Society Annual Meeting}, journal = {Orthopedic Research Society Annual Meeting}, address = {Las Vegas, Nevada}, language = {en} }