Validation of a new optimisation algorithm for registration tasks in medical imaging - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2007

Validation of a new optimisation algorithm for registration tasks in medical imaging

Abstract

A number of problems frequently encountered in brain image analysis can be conveniently solved within a registration framework, such as alignment of mono- or multi-sequence Magnetic Resonance Images (MRI) for single or multiple subjects, computation of the cerebral mid-sagittal plane in anatomical or diffusion-tensor MRI, correction of acquisition distortions in diffusion-weighted MRI, etc. A widely used approach for registration tasks consists of maximising a similarity criterion between the intensities of the images to be matched. In this context, efficient optimisation methods are needed to obtain good performances. In this paper, we introduce a new optimisation algorithm (called NEWUOA) to address the above registration problems, and we demonstrate its robustness and accuracy properties.
Fichier principal
Vignette du fichier
main.pdf (122.58 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00133377 , version 1 (26-02-2007)

Identifiers

Cite

Nicolas Wiest-Daesslé, Sylvain Prima, Christian Barillot. Validation of a new optimisation algorithm for registration tasks in medical imaging. IEEE International Symposium on Biomedical Imaging, Apr 2007, Washington, United States. ⟨10.1109/ISBI.2007.356783⟩. ⟨inria-00133377⟩
151 View
226 Download

Altmetric

Share

Gmail Facebook X LinkedIn More