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A system for ultrasound-guided computer-assisted orthopaedic surgery 

Authors: Thomas Kuiran Chen a;  Purang Abolmaesumi ab;  David R. Pichora c; Randy E. Ellis ac
Affiliations:   a School of Computing, Kingston, Canada
b Department of Electrical and Computer Engineering, Queen's University, Kingston, Canada
c Division of Orthopaedic Surgery, Kingston General Hospital, Kingston, Canada
DOI: 10.1080/10929080500390017
Publication Frequency: 6 issues per year
Published in: journal Computer Aided Surgery, Volume 10, Issue 5 & 6 September 2005 , pages 281 - 292
Subject: Surgery;
Formats available: HTML (English) : PDF (English)
Previously published as: Journal of Image Guided Surgery (1522-712X) until 1996

The circumstances under which this title is published have changed:

Reason for change: New publisher – please contact cas.editor@yahoo.com
Date of change: 2009



Abstract

Current computer-assisted orthopedic surgery (CAOS) systems typically use preoperative computed tomography (CT) and intraoperative fluoroscopy as their imaging modalities. Because these imaging tools use X-rays, both patients and surgeons are exposed to ionizing radiation that may cause long-term health damage. To register the patient with the preoperative surgical plan, these techniques require tracking of the targeted anatomy by invasively mounting a tracking device on the patient, which results in extra pain and may prolong recovery time. The mounting procedure also leads to a major difficulty of using these approaches to track small bones or mobile fractures. Furthermore, it is practically impossible to mount a heavy tracking device on a small bone, which thus restricts the use of CAOS techniques. This article presents a novel CAOS method that employs 2D ultrasound (US) as the imaging modality. Medical US is non-ionizing and real-time, and our proposed method does not require any invasive mounting procedures. Experiments have shown that the proposed registration technique has sub-millimetric accuracy in localizing the best match between the intraoperative and preoperative images, demonstrating great potential for orthopedic applications. This method has some significant advantages over previously reported US-guided CAOS techniques: it requires no segmentation and employs only a few US images to accurately and robustly localize the patient. Preliminary laboratory results on both a radius-bone phantom and human subjects are presented.
Keywords: Computer-assisted orthopedic surgery; image registration; mutual information; entropy; ultrasound imaging; ultrasound calibration; volume reconstruction; image-guided surgery; ITK; VTK
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