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Proceedings Paper

In vitro cardiac catheter navigation via augmented reality surgical guidance
Author(s): Cristian A. Linte; John Moore; Andrew Wiles; Jennifer Lo; Chris Wedlake; Terry M. Peters
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Paper Abstract

Catheter-driven cardiac interventions have emerged in response to the need of reducing invasiveness associated with the traditional cut-and-sew techniques. Catheter manipulation is traditionally performed under real-time fluoroscopy imaging, resulting in an overall trade-off of procedure invasiveness for radiation exposure of both the patient and clinical staff. Our approach to reducing and potentially eliminating the use of flouroscopy in the operating room entails the use of multi-modality imaging and magnetic tracking technologies, wrapped together into an augmented reality environment for enhanced intra-procedure visualization and guidance. Here we performed an in vitro study in which a catheter was guided to specific targets located on the endocardial atrial surface of a beating heart phantom. "Therapy delivery" was modeled in the context of a blinded procedure, mimicking a beating heart, intracardiac intervention. The users navigated the tip of a magnetically tracked Freezor 5 CRYOCATH catheter to the specified targets. Procedure accuracy was determined as the distance between the tracked catheter tip and the tracked surgical target at the time of contact, and it was assessed under three different guidance modalities: endoscopic, augmented reality, and ultrasound image guidance. The overall RMS targeting accuracy achieved under augmented reality guidance averaged to 1.1 mm. This guidance modality shows significant improvements in both procedure accuracy and duration over ultrasound image guidance alone, while maintianing an overall targeting accuracy comparable to that achieved under endoscopic guidance.

Paper Details

Date Published: 13 March 2009
PDF: 9 pages
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 72610O (13 March 2009); doi: 10.1117/12.813829
Show Author Affiliations
Cristian A. Linte, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
John Moore, Robarts Research Institute (Canada)
Andrew Wiles, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
Jennifer Lo, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
Chris Wedlake, Robarts Research Institute (Canada)
Terry M. Peters, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)


Published in SPIE Proceedings Vol. 7261:
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kenneth H. Wong, Editor(s)

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