NDLI: Calibration of X-ray radiographs and its feasible application for 2D/3D reconstruction of the proximal femur

Content Provider	IEEE Xplore Digital Library
Author	Schumann, Steffen Zheng, Guoyan Nolte, Lutz-Peter
Copyright Year	2008
Description	Author affiliation: MEM Research Center, University of Bern, Stauffacherstr. 78, 3014, Switzerland (Schumann, Steffen; Zheng, Guoyan; Nolte, Lutz-Peter)
Abstract	In the past ten years, a variety of computer-assisted surgical technologies have been introduced for total hip replacement (THR). Despite the different approaches, orthopedic surgeons routinely still acquire 2D X-ray radiographs for preoperative diagnostic and templating purposes. Such images provide detailed information in high resolution about the underlying anatomy. But lack of knowledge about the magnification factor of the bony structures complicates the correct interpretation of the real anatomy and therefore could lead to mismatching implants intraoperatively based on the preoperative performed planning. Therefore we developed a calibration device, which can be mounted within the usual clinical environment and allows to improve the accuracy of conventional radiographs by applying a specific calibration algorithm. Furthermore, we investigated the feasibility of reconstructing the surface of the proximal femur on the basis of two calibrated X-ray radiographs. The accuracy of this approach has been thoroughly validated using 14 dry cadaver femur bones (pathological as well as non-pathological cases), one plastic femur bone and one wet cadaver pelvis.
Starting Page	470
Ending Page	473
File Size	338648
Page Count	4
File Format	PDF
ISBN	9781424418145
ISSN	1557170X
DOI	10.1109/IEMBS.2008.4649192
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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