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Proceedings Paper

Multiple 2D video/3D medical image registration algorithm
Author(s): Matthew J. Clarkson; Daniel Rueckert; Derek L.G. Hill; David John Hawkes
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Paper Abstract

In this paper we propose a novel method to register at least two vide images to a 3D surface model. The potential applications of such a registration method could be in image guided surgery, high precision radiotherapy, robotics or computer vision. Registration is performed by optimizing a similarity measure with respect to the pose parameters. The similarity measure is based on 'photo-consistency' and computes for each surface point, how consistent the corresponding video image information in each view is with a lighting model. We took four video views of a volunteer's face, and used an independent method to reconstruct a surface that was intrinsically registered to the four views. In addition, we extracted a skin surface from the volunteer's MR scan. The surfaces were misregistered from a gold standard pose and our algorithm was used to register both types of surfaces to the video images. For the reconstructed surface, the mean 3D error was 1.53 mm. For the MR surface, the standard deviation of the pose parameters after registration ranged from 0.12 to 0.70 mm and degrees. The performance of the algorithm is accurate, precise and robust.

Paper Details

Date Published: 6 June 2000
PDF: 11 pages
Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); doi: 10.1117/12.387696
Show Author Affiliations
Matthew J. Clarkson, Guy's Hospital/Guy's, King's, and St. Thomas' School of Medicine (United Kingdom)
Daniel Rueckert, Guy's Hospital/Guy's, King's, and St. Thomas' School of Medicine (United Kingdom)
Derek L.G. Hill, Guy's Hospital/Guy's, King's, and St. Thomas' School of Medicine (United Kingdom)
David John Hawkes, Guy's Hospital/Guy's, King's, and St. Thomas' School of Medicine (United Kingdom)


Published in SPIE Proceedings Vol. 3979:
Medical Imaging 2000: Image Processing
Kenneth M. Hanson, Editor(s)

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