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Proceedings Paper

Validation of four-dimensional ultrasound for targeting in minimally-invasive beating-heart surgery
Author(s): Danielle F. Pace; Andrew D. Wiles; John Moore; Chris Wedlake; David G. Gobbi; Terry M. Peters
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Paper Abstract

Ultrasound is garnering significant interest as an imaging modality for surgical guidance, due to its affordability, real-time temporal resolution and ease of integration into the operating room. Minimally-invasive intracardiac surgery performed on the beating-heart prevents direct vision of the surgical target, and procedures such as mitral valve replacement and atrial septal defect closure would benefit from intraoperative ultrasound imaging. We propose that placing 4D ultrasound within an augmented reality environment, along with a patient-specific cardiac model and virtual representations of tracked surgical tools, will create a visually intuitive platform with sufficient image information to safely and accurately repair tissue within the beating heart. However, the quality of the imaging parameters, spatial calibration, temporal calibration and ECG-gating must be well characterized before any 4D ultrasound system can be used clinically to guide the treatment of moving structures. In this paper, we describe a comprehensive accuracy assessment framework that can be used to evaluate the performance of 4D ultrasound systems while imaging moving targets. We image a dynamic phantom that is comprised of a simple robot and a tracked phantom to which point-source, distance and spherical objects of known construction can be attached. We also follow our protocol to evaluate 4D ultrasound images generated in real-time by reconstructing ECG-gated 2D ultrasound images acquired from a tracked multiplanar transesophageal probe. Likewise, our evaluation framework allows any type of 4D ultrasound to be quantitatively assessed.

Paper Details

Date Published: 13 March 2009
PDF: 12 pages
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 726115 (13 March 2009); doi: 10.1117/12.813705
Show Author Affiliations
Danielle F. Pace, Robarts Research Institute (Canada)
The Univ. of Western Ontario (Canada)
Andrew D. Wiles, Robarts Research Institute (Canada)
The Univ. of Western Ontario (Canada)
John Moore, Robarts Research Institute (Canada)
Chris Wedlake, Robarts Research Institute (Canada)
David G. Gobbi, Queen's Univ. (Canada)
Terry M. Peters, Robarts Research Institute (Canada)
The 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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