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Springer, Lecture Notes in Computer Science, p. 567-577, 2000

DOI: 10.1007/978-3-540-40899-4_58

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

Journal article published in 2000 by Alexis Roche, Xavier Pennec, Michael Rudolph, Dorothee P. Auer, Grégoire Malandain ORCID, Ludwig M. Auer, Sébastien Ourselin, Nicholas Ayache
This paper is available in a repository.
This paper is available in a repository.

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Abstract

Automatic processing of D ultrasound (US) is of great in- terest 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 Res- onance (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 resolution.