Paper
1 March 2011 Feature-based US to CT registration of the aortic root
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
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pencilla Lang, Elvis C. S. Chen, Gerard M. Guiraudon, Doug L. Jones, Daniel Bainbridge, Michael W. Chu, Maria Drangova, Noby Hata, Ameet Jain, and Terry M. Peters "Feature-based US to CT registration of the aortic root", Proc. SPIE 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, 79641G (1 March 2011); https://doi.org/10.1117/12.878386
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Cited by 5 scholarly publications.
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KEYWORDS
Image registration

Computed tomography

Fluoroscopy

Ultrasonography

Heart

3D acquisition

Detection and tracking algorithms

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