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3XPlan: A Novel Technology for 3D Prosthesis Planning Using 2D X-ray Radiographs

3 pagesPublished: June 13, 2017

Abstract

The purpose of this paper is to present a clinical validation of a novel technology called ’3XPlan’ which allows for 3D prosthesis planning using 2D X-ray radiographs. After a local institution review board (IRB) approval, 3XPlan was evaluated on 25 patients TKA. Pre-operatively, all the patients underwent a CT scan according to a standard protocol. All the CT images were segmented to extract 3D surface models of both femur and tibia, which were regarded as the ground truth. Additionally, 2 X-ray images were acquired for each affected leg and were used in ’3XPlan’ to derive patient-specific models of the leg. For 3D models derived from both modalities (CT vs. X-ray), five most relevant anatomical parameters for planning TKA were measured and compared with each other. Except for tibial torsion, the average differences for all other anatomical parameters are smaller than or close to 3 degrees.

Keyphrases: 2D-3D Reconstruction, planning, Total knee arthroplasty, Validation

In: Klaus Radermacher and Ferdinando Rodriguez Y Baena (editors). CAOS 2017. 17th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 1, pages 93--95

Links:
BibTeX entry
@inproceedings{CAOS2017:3XPlan_Novel_Technology_for,
  author    = {Hagen Hommel and Alper Akcoltekin and Benedikt Thelen and Jan Stifter and Tobias Schw\textbackslash{}"agli and Guoyan Zheng},
  title     = {3XPlan: A Novel Technology for 3D Prosthesis Planning Using 2D X-ray Radiographs},
  booktitle = {CAOS 2017. 17th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Klaus Radermacher and Ferdinando Rodriguez Y Baena},
  series    = {EPiC Series in Health Sciences},
  volume    = {1},
  pages     = {93--95},
  year      = {2017},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {https://easychair.org/publications/paper/fQ},
  doi       = {10.29007/s2sn}}
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