Title | ||
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PHYSICALLY ACCURATE B-SPLINE BASED NON-RIGID REGISTRATION USING VARIABLE SPRING MODEL |
Abstract | ||
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This paper presents a physically accurate fast parametric non-rigid registration method based on B-spline deformation model. Our method is based on using variable spring model to add a physical constraint to ensure that the deformation does not violate elasticity characteristic of the organs. Using the assumption of human organs as elastic bodies, we modeled the whole volume as 3-D springs connecting each neighboring voxels. Registration was performed on B-spline deformation model with the combination of SSD and total spring energy as optimization criterion. We also added the concept of elasticity map to made it possible to model a more specific elasticity characteristic such as hardness/softness of the organ. We showed that compared to the original algorithm, our algorithm was able to realize a more realistic deformation. We also applied our method to register 3D CT images of human heart from different heart beat phases. |
Year | DOI | Venue |
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2007 | 10.1109/ISBI.2007.356960 | Arlington, VA |
Keywords | Field | DocType |
biomedical imaging,cardiology,computerised tomography,image registration,medical image processing,3D CT images,B-spline deformation model,SSD,elasticity map,human heart,image registration,total spring energy,variable spring model | B-spline,Voxel,Spline (mathematics),Computer vision,Computer science,Medical imaging,Parametric statistics,Artificial intelligence,Deformation (mechanics),Elasticity (economics),Image registration | Conference |
ISSN | ISBN | Citations |
1945-7928 | 1-4244-0672-2 | 0 |
PageRank | References | Authors |
0.34 | 6 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nicholas Herlambang | 1 | 0 | 0.68 |
Hongen Liao | 2 | 390 | 70.91 |
Kiyoshi Matsumiya | 3 | 26 | 6.28 |
Ken Masamune | 4 | 253 | 48.57 |
Takeyoshi Dohi | 5 | 496 | 97.71 |