Universität zu Köln

Bredow, Jan, Wenk, Birte, Westphal, Ralf, Wahl, Friedrich, Budde, Stefan, Eysel, Peer and Oppermann, Johannes (2014). Software-based matching of x-ray images and 3D models of knee prostheses. Technol. Health Care, 22 (6). S. 895 - 901. AMSTERDAM: IOS PRESS. ISSN 1878-7401

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Abstract

BACKGROUND: 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. OBJECTIVE: We are developing methods for identifying implanted prostheses from x-ray images by means of matching template images generated from prosthesis CAD data. METHODS: 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. RESULTS: Very accurate identifications with accuracies of about 90% for lateral and over 70% for frontal images could be achieved. CONCLUSIONS: 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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Bredow, Jan UNSPECIFIED UNSPECIFIED UNSPECIFIED Wenk, Birte UNSPECIFIED UNSPECIFIED UNSPECIFIED Westphal, Ralf UNSPECIFIED UNSPECIFIED UNSPECIFIED Wahl, Friedrich UNSPECIFIED UNSPECIFIED UNSPECIFIED Budde, Stefan UNSPECIFIED UNSPECIFIED UNSPECIFIED Eysel, Peer UNSPECIFIED UNSPECIFIED UNSPECIFIED Oppermann, Johannes UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-449199
DOI:	10.3233/THC-140858
Journal or Publication Title:	Technol. Health Care
Volume:	22
Number:	6
Page Range:	S. 895 - 901
Date:	2014
Publisher:	IOS PRESS
Place of Publication:	AMSTERDAM
ISSN:	1878-7401
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language UNITED-STATES; ARTHROPLASTY; REPLACEMENT; HIP Multiple languages Health Care Sciences & Services; Engineering, Biomedical Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/44919