Paper Info
Title
Software-based matching of x-ray images and 3D models of knee prostheses.
Abstract
Revision joint replacements are challenging surgical tasks. Knowing the exact type of primary prosthesis is essential to avoid long preoperative organisation, long operation times, and especially loss of bone and soft-tissue during operation. In daily routine there is often no information about the primary prosthesis.We are developing methods for identifying implanted prostheses from x-ray images by means of matching template images generated from prosthesis CAD data.The application is separated into three major components: The "Template Image Generation" adds 3d models of endoprostheses to a database. The "X-ray Image Segmentation" extracts endoprostheses from provided sets of x-ray images. The "Template Matching" finds the best matching prosthesis types in the data base. At the current stage, one prosthesis model (Corin, Knee ProthesisUniglide) was used for evaluating these algorithms.Very accurate identifications with accuracies of about 90% for lateral and over 70% for frontal images could be achieved.The current results of this feasibility study are very promising. A reliable and fast prosthesis identification process seems realistic to support the surgeon when planning and performing revision arthroplasty. Further improvements of segmentation accuracies and extending the prosthesis data base are intended next steps towards this goal.
Year
DOI
Venue
2012
10.3233/THC-140858
CURAC
Keywords
Field
DocType
template matching,revision arthroplasty,prosthesis,image segmentation,x-ray
CAD,Prosthesis,Template matching,Image generation,Segmentation,Arthroplasty,Image segmentation,Software,Surgery,Medicine
Conference
Volume
Issue
ISSN
22
6
1878-7401
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Jan Bredow140.85
Birte Wenk200.34
Ralf Westphal3569.32
Friedrich Wahl4313.47
Stefan Budde500.34
Peer Eysel600.34
Johannes Oppermann700.34