HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Reports

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.
Document type :
Reports
Complete list of metadata

https://hal.inria.fr/inria-00072667
Contributor : Rapport de Recherche Inria Connect in order to contact the contributor
Submitted on : Wednesday, May 24, 2006 - 10:32:31 AM
Last modification on : Friday, February 4, 2022 - 3:19:08 AM
Long-term archiving on: : Sunday, April 4, 2010 - 11:17:30 PM

Identifiers

  • HAL Id : inria-00072667, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

90

Files downloads

260