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Rapport (Rapport De Recherche) Année : 2000

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

Xavier Pennec
Grégoire Malandain
Nicholas Ayache

Résumé

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.

Domaines

Autre [cs.OH]
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Dates et versions

inria-00072667 , version 1 (24-05-2006)

Identifiants

  • HAL Id : inria-00072667 , version 1

Citer

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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