Name
Abstract | ||
|---|---|---|
With the progress of model averaging algorithms, scientists in the field of brain research have an increasing demand for methods capable to register and warp source data to the pre-registered standard atlas. We here propose a thin-plate spline (TPS) based surface registration method to facilitate the registration and warping process of Drosophila brain data. Our contributions are twofold. First, the proposed method performs TPS-based registration in the parameterization domain, and hence it no longer needs a rigid transformation to globally align and scale the input models. Second, the obtained well-registered surface model can act as boundary constraints for further volumetric registration schemes. Experiments show that the proposed method is effective. For models with a 750-voxel-long bounding box diagonal, the average surface-to-surface distance is reduced to about 0.1-voxel-long after registration. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICIP.2013.6738295 | ICIP |
Keywords | Field | DocType |
average surface-to-surface distance reduction,surface registration,tps-based surface registration method,drosophila brain data,drosophila brain surface model,boundary constraints,drosophila brain,biology computing,model averaging algorithms,mesh surface model,750-voxel-long bounding box diagonal,solid modelling,image registration,3d thin-plate spline registration,volumetric registration,splines (mathematics),warping process,thin-plate spline | Spline (mathematics),Diagonal,Computer vision,Thin plate spline,Image warping,Computer science,Source data,Rigid transformation,Artificial intelligence,Image registration,Minimum bounding box | Conference |
ISSN | Citations | PageRank |
1522-4880 | 1 | 0.37 |
References | Authors | |
11 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hao-Chiang Shao | 1 | 9 | 4.97 |
| Cheng-chi Wu | 2 | 18 | 2.87 |
| Lu-Hung Hsu | 3 | 1 | 0.37 |
| Wen-Liang Hwang | 4 | 429 | 58.03 |
| Yung-chang Chen | 5 | 799 | 96.73 |