Title
Automatic deformable PET/MRI registration for preclinical studies based on B-splines and non-linear intensity transformation.
Abstract
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.
Year
DOI
Venue
2018
10.1007/s11517-018-1797-0
Med. Biol. Engineering and Computing
Keywords
Field
DocType
MRI,PET,Registration,Preclinical imaging,PCA,B-splines
Affine transformation,Spline (mathematics),Computer vision,Nonlinear system,Similarity measure,Artificial intelligence,Initialization,Merge (version control),Mathematics,Principal component analysis,Preclinical imaging
Journal
Volume
Issue
ISSN
56
9
0140-0118
Citations 
PageRank 
References 
0
0.34
15
Authors
9