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Reports (Research Report) Year : 2000

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

Xavier Pennec
Grégoire Malandain
Nicholas Ayache
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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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Dates and versions

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

Identifiers

  • HAL Id : inria-00072667 , version 1

Cite

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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