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Proceedings Paper

Feature-based US to CT registration of the aortic root
Author(s): Pencilla Lang; Elvis C. S. Chen; Gerard M. Guiraudon; Doug L. Jones; Daniel Bainbridge; Michael W. Chu; Maria Drangova; Noby Hata; Ameet Jain; Terry M. Peters
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Paper Abstract

A feature-based registration was developed to align biplane and tracked ultrasound images of the aortic root with a preoperative CT volume. In transcatheter aortic valve replacement, a prosthetic valve is inserted into the aortic annulus via a catheter. Poor anatomical visualization of the aortic root region can result in incorrect positioning, leading to significant morbidity and mortality. Registration of pre-operative CT to transesophageal ultrasound and fluoroscopy images is a major step towards providing augmented image guidance for this procedure. The proposed registration approach uses an iterative closest point algorithm to register a surface mesh generated from CT to 3D US points reconstructed from a single biplane US acquisition, or multiple tracked US images. The use of a single simultaneous acquisition biplane image eliminates reconstruction error introduced by cardiac gating and TEE probe tracking, creating potential for real-time intra-operative registration. A simple initialization procedure is used to minimize changes to operating room workflow. The algorithm is tested on images acquired from excised porcine hearts. Results demonstrate a clinically acceptable accuracy of 2.6mm and 5mm for tracked US to CT and biplane US to CT registration respectively.

Paper Details

Date Published: 2 March 2011
PDF: 9 pages
Proc. SPIE 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, 79641G (2 March 2011); doi: 10.1117/12.878386
Show Author Affiliations
Pencilla Lang, Robarts Research Institute (United States)
The Univ. of Western Ontario (Canada)
Elvis C. S. Chen, Robarts Research Institute (Canada)
Gerard M. Guiraudon, Canadian Surgical Technologies and Advanced Robotics (Canada)
Doug L. Jones, The Univ. of Western Ontario (Canada)
Daniel Bainbridge, London Health Sciences Ctr. (Canada)
Michael W. Chu, Canadian Surgical Technologies and Advanced Robotics (Canada)
The Univ. of Western Ontario (Canada)
Maria Drangova, Robarts Research Institute (Canada)
Noby Hata, Brigham and Women's Hospital (United States)
Ameet Jain, Philips Research (United States)
Terry M. Peters, Robarts Research Institute (Canada)


Published in SPIE Proceedings Vol. 7964:
Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling
Kenneth H. Wong; David R. Holmes, Editor(s)

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