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Proceedings Paper

A hybrid surface/image-based approach to facilitate ultrasound/CT registration
Author(s): Seth Billings; Ankur Kapoor; Matthias Keil; Bradford J. Wood; Emad Boctor
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Paper Abstract

Registration of intra-operative ultrasound with preoperative CT is highly desirable as a navigational aid for surgeons and interventional radiologists. Image-based solutions generally achieve poor results due to substantially different image appearance of ultrasound and CT. A method is presented that uses surface information and tracked ultrasound to improve registration results. Tracked ultrasound is combined with surface and image-based registration techniques to register ultrasound to CT. Surface data is acquired using an optically tracked range sensor, for example time-of-flight camera. Range data is registered to CT using robust point-set registration; this registration provides an approximate transformation from tracker to CT coordinates. The ultrasound probe is also optically tracked. The probe position and surface-based registration provide a first estimate for the position of the ultrasound image in CT coordinates. This estimate is subsequently refined by a final image-based registration stage. Initial tests using Coherent Point Drift algorithm for registering surface data to CT show favorable results. Tests using both simulated and real time-of-flight range data have good convergence over a wide initial translation and rotation misalignment domain. Preliminary testing using time-of-flight surface data suggests that surface to CT registration may be useful as an initial guess enabling later more precise (but less robust) image based methods for registering ultrasound images to CT. We believe this method will enable image-based algorithms to robustly converge to an optimal registration solution.

Paper Details

Date Published: 25 March 2011
PDF: 12 pages
Proc. SPIE 7968, Medical Imaging 2011: Ultrasonic Imaging, Tomography, and Therapy, 79680V (25 March 2011);
Show Author Affiliations
Seth Billings, National Institutes of Health (United States)
The Johns Hopkins Univ. (United States)
Ankur Kapoor, National Institutes of Health (United States)
Matthias Keil, Fraunhofer-Institut für Graphische Datenverarbeitung (Germany)
Bradford J. Wood, National Institutes of Health (United States)
Emad Boctor, The Johns Hopkins Univ. (United States)

Published in SPIE Proceedings Vol. 7968:
Medical Imaging 2011: Ultrasonic Imaging, Tomography, and Therapy
Jan D'hooge; Marvin M. Doyley, Editor(s)

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