Fiche publication
Date publication
février 2018
Journal
Medical & biological engineering & computing
Auteurs
Membres identifiés du Cancéropôle Est :
Pr BRUNOTTE François
,
Pr COCHET Alexandre
Tous les auteurs :
Bricq S, Kidane HL, Zavala-Bojorquez J, Oudot A, Vrigneaud JM, Brunotte F, Walker PM, Cochet A, Lalande A
Lien Pubmed
Résumé
PET images deliver functional data, whereas MRI images provide anatomical information. Merging the complementary information from these two modalities is helpful in oncology. Alignment of PET/MRI images requires the use of multi-modal registration methods. Most of existing PET/MRI registration methods have been developed for humans and few works have been performed for small animal images. We proposed an automatic tool allowing PET/MRI registration for pre-clinical study based on a two-level hierarchical approach. First, we applied a non-linear intensity transformation to the PET volume to enhance. The global deformation is modeled by an affine transformation initialized by a principal component analysis. A free-form deformation based on B-splines is then used to describe local deformations. Normalized mutual information is used as voxel-based similarity measure. To validate our method, CT images acquired simultaneously with the PET on tumor-bearing mice were used. Results showed that the proposed algorithm outperformed affine and deformable registration techniques without PET intensity transformation with an average error of 0.72 ± 0.44 mm. The optimization time was reduced by 23% due to the introduction of robust initialization. In this paper, an automatic deformable PET-MRI registration algorithm for small animals is detailed and validated. Graphical abstract ᅟ.
Mots clés
B-splines, MRI, PCA, PET, Preclinical imaging, Registration
Référence
Med Biol Eng Comput. 2018 Feb 7;:
