Name
Title | ||
|---|---|---|
Coupled B-snake grids and constrained thin-plate splines for analysis of 2-D tissue deformations from tagged MRI. |
Abstract | ||
|---|---|---|
Magnetic resonance imaging (MRI) is unique in its ability to noninvasively and selectively alter tissue magnetization and create tagged patterns within a deforming body such as the heart muscle. The resulting patterns define a time-varying curvilinear coordinate system on the tissue, which we track with coupled B-snake grids. B-spline bases provide local control of shape, compact representation, and parametric continuity. Efficient spline warps are proposed which warp an area in the plane such that two embedded snake grids obtained from two tagged frames are brought into registration, interpolating a dense displacement vector field. The reconstructed vector field adheres to the known displacement information at the intersections, forces corresponding snakes to be warped into one another, and for all other points in the plane, where no information is available, a C1 continuous vector field is interpolated. The implementation proposed in this paper improves on our previous variational-based implementation and generalizes warp methods to include biologically relevant contiguous open curves, in addition to standard landmark points. The methods are validated with a cardiac motion simulator, in addition to in-vivo tagging data sets. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/42.712124 | IEEE transactions on medical imaging |
Keywords | Field | DocType |
biomedical nmr,biomechanics,parametric continuity,efficient spline warps,compact representation,interpolation,2-d tissue deformations analysis,cardiac motion simulator,constrained thin-plate splines,tissue magnetization alteration,biologically relevant contiguous open curves,in-vivo tagging data sets,known displacement,heart muscle,magnetisation,coupled b-snake grids,c/sup 1/ continuous vector field,standard landmark points,splines (mathematics),time-varying curvilinear coordinate system,variational-based implementation,vectors,medical image processing,magnetic resonance imaging,computer simulation,image warping,magnetization,coordinate system,spline,heart,indexing terms,image reconstruction,thin plate spline | B-spline,Coordinate system,Iterative reconstruction,Spline (mathematics),Computer vision,Thin plate spline,Vector field,Curvilinear coordinates,Artificial intelligence,Mathematics,Displacement (vector) | Journal |
Volume | Issue | ISSN |
17 | 3 | 0278-0062 |
Citations | PageRank | References |
60 | 5.25 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir A. Amini | 1 | 443 | 63.30 |
| Yasheng Chen | 2 | 186 | 19.86 |
| R. Curwen | 3 | 106 | 25.57 |
| Vaidy Mani | 4 | 60 | 5.59 |
| Jean Sun | 5 | 60 | 5.59 |