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Proceedings Paper

Navigation accuracy for an intracardiac procedure using ultrasound enhanced virtual reality
Author(s): Andrew D. Wiles; Gerard M. Guiraudon; John Moore; Christopher Wedlake; Cristian A. Linte; Daniel Bainbridge; Douglas L. Jones; Terry M. Peters
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Paper Abstract

Minimally invasive techniques for use inside the beating heart, such as mitral valve replacement and septal defect repair, are the focus of this work. Traditional techniques for these procedures require an open chest approach and a cardiopulmonary bypass machine. New techniques using port access and a combined surgical guidance tool that includes an overlaid two-dimensional ultrasound image in a virtual reality environment are being developed. To test this technique, a cardiac phantom was developed to simulate the anatomy. The phantom consists of an acrylic box filled with a 7% glycerol solution with ultrasound properties similar to human tissue. Plate inserts mounted in the box simulate the physical anatomy. An accuracy assessment was completed to evaluate the performance of the system. Using the cardiac phantom, a 2mm diameter glass toroid was attached to a vertical plate as the target location. An elastic material was placed between the target and plate to simulate the target lying on a soft tissue structure. The target was measured using an independent measurement system and was represented as a sphere in the virtual reality system. The goal was to test the ability of a user to probe the target using three guidance methods: (i) 2D ultrasound only, (ii) virtual reality only and (iii) ultrasound enhanced virtual reality. Three users attempted the task three times each for each method. An independent measurement system was used to validate the measurement. The ultrasound imaging alone was poor in locating the target (5.42 mm RMS) while the other methods proved to be significantly better (1.02 mm RMS and 1.47 mm RMS respectively). The ultrasound enhancement is expected to be more useful in a dynamic environment where the system registration may be disturbed.

Paper Details

Date Published: 3 April 2007
PDF: 10 pages
Proc. SPIE 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures, 65090W (3 April 2007); doi: 10.1117/12.711532
Show Author Affiliations
Andrew D. Wiles, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
Gerard M. Guiraudon, Robarts Research Institute (Canada)
Canadian Surgical Technologies & Advanced Robotics (CSTAR) (Canada)
Lawson Health Research Institute (Canada)
John Moore, Robarts Research Institute (Canada)
Christopher Wedlake, Robarts Research Institute (Canada)
Cristian A. Linte, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
Daniel Bainbridge, Canadian Surgical Technologies & Advanced Robotics (CSTAR) (Canada)
Lawson Health Research Institute (Canada)
Univ. of Western Ontario (Canada)
Douglas L. Jones, Canadian Surgical Technologies & Advanced Robotics (CSTAR) (Canada)
Lawson Health Research Institute (Canada)
Univ. of Western Ontario (Canada)
Terry M. Peters, Robarts Research Institute (Canada)
Canadian Surgical Technologies & Advanced Robotics (CSTAR) (Canada)
Lawson Health Research Institute (Canada)


Published in SPIE Proceedings Vol. 6509:
Medical Imaging 2007: Visualization and Image-Guided Procedures
Kevin R. Cleary; Michael I. Miga, Editor(s)

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