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Proceedings Paper

Object identification accuracy under ultrasound enhanced virtual reality for minimally invasive cardiac surgery
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Paper Abstract

A 2D ultrasound enhanced virtual reality surgical guidance system has been under development for some time in our lab. The new surgical guidance platform has been shown to be effective in both the laboratory and clinical settings, however, the accuracy of the tracked 2D ultrasound has not been investigated in detail in terms of the applications for which we intend to use it (i.e., mitral valve replacement and atrial septal defect closure). This work focuses on the development of an accuracy assessment protocol specific to the assessment of the calibration methods used to determine the rigid transformation between the ultrasound image and the tracked sensor. Specifically, we test a Z-bar phantom calibration method and a phantomless calibration method and compared the accuracy of tracking ultrasound images from neuro, transesophageal, intracardiac and laparoscopic ultrasound transducers. This work provides a fundamental quantitative description of the image-guided accuracy that can be obtained with this new surgical guidance system.

Paper Details

Date Published: 17 March 2008
PDF: 12 pages
Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69180E (17 March 2008); doi: 10.1117/12.773178
Show Author Affiliations
Andrew D. Wiles, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
John Moore, Robarts Research Institute (Canada)
Cristian A. Linte, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
Christopher Wedlake, Robarts Research Institute (Canada)
Anis Ahmad, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
Terry M. Peters, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)


Published in SPIE Proceedings Vol. 6918:
Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kevin Robert Cleary, Editor(s)

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