Title | ||
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Automatic deformable PET/MRI registration for preclinical studies based on B-splines and non-linear intensity transformation. |
Abstract | ||
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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 |
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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 |
Name | Order | Citations | PageRank |
---|---|---|---|
stephanie bricq | 1 | 2 | 1.04 |
Hiliwi Leake Kidane | 2 | 0 | 0.34 |
Jorge Zavala Bojorquez | 3 | 0 | 0.34 |
Alexandra Oudot | 4 | 0 | 0.34 |
Jean-Marc Vrigneaud | 5 | 0 | 0.68 |
François Brunotte | 6 | 10 | 1.98 |
Paul M Walker | 7 | 19 | 4.02 |
Alexandre Cochet | 8 | 5 | 3.27 |
Alain Lalande | 9 | 101 | 15.31 |