Download PDFOpen PDF in browser

Real-Time in-Vitro Evaluation of Knee Kinematics Using Enriched Computed Tomography Data

6 pagesPublished: August 17, 2017

Abstract

In vitro evaluation of knee kinematics remains an essential part during pre-clinical testing of new implants and surgical procedures. To assess the kinematics, markers are rigidly attached to the bone segments and tracked using infrared cameras. Subsequently, the position of the markers relative to the bone is determined using computed tomography (CT). Although the accuracy of the aforementioned, CT-based method is not doubted, no real-time information is provided. Therefore, this paper presents a real-time method that uses a registration phase in combination with a pre-operative CT scan to determine the location of the bone relative to the markers. During this registration phase, the bone surface location is identified touching surface points with a tracked pen. The kinematic parameters obtained using this real-time method is compared to the golden standard, CT-based, method. Under optimal conditions, rotational and translational differences around 1mm and 1degree are obtained. This is in the range of the inter- and intra- observer variability in determining the landmarks used for these kinematic calculations. It is therefore concluded that the accuracy of the real-time method allows effectively evaluating the knee kinematics in six degrees of freedom.

Keyphrases: Computed Tomography, motion tracking, real-time kinematics

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 369--374

Links:
BibTeX entry
@inproceedings{CAOS2017:Real_Time_in_Vitro_Evaluation_of,
  author    = {Matthias Verstraete and Nele Arnout and Patrick De Baets and Thibeau Vancouillie and Tom Van Hoof and Jan Victor},
  title     = {Real-Time in-Vitro Evaluation of Knee Kinematics Using Enriched Computed Tomography Data},
  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     = {369--374},
  year      = {2017},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {https://easychair.org/publications/paper/JH},
  doi       = {10.29007/flk2}}
Download PDFOpen PDF in browser