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Generalized Correlation Ratio for Rigid Registration of 3D Ultrasound with MR Images

Abstract : Automatic processing of 3D ultrasound (US) is of great interest for the development of innovative and low-cost computer-assisted surgery tools. In this paper, we present a new image-based technique to rigidly register intra-operative 3D US with pre-operative Magnetic Resonance (MR) data. Automatic registration is achieved by maximization of a similarity measure that generalizes the correlation ratio (CR). This novel similarity measure has been designed to better take into account the nature of US images. A preliminary cross-validation study has been carried out using a number of phantom and clinical data. This indicates that the worst registration errors are of the order of the MR image resolution.
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https://hal.inria.fr/inria-00072667
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 10:32:31 AM
Last modification on : Friday, November 16, 2018 - 4:20:20 PM
Document(s) archivé(s) le : Sunday, April 4, 2010 - 11:17:30 PM

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  • HAL Id : inria-00072667, version 1

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Alexis Roche, Xavier Pennec, Grégoire Malandain, Nicholas Ayache, Sébastien Ourselin. Generalized Correlation Ratio for Rigid Registration of 3D Ultrasound with MR Images. [Research Report] RR-3980, INRIA. 2000, pp.24. ⟨inria-00072667⟩

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