Name
Title | ||
|---|---|---|
Low-dimensional representation of cardiac motion using Barycentric Subspaces: A new group-wise paradigm for estimation, analysis, and reconstruction. |
Abstract | ||
|---|---|---|
•The introduction of a method for dimension reduction for medical images.•The methods for manipulating images within Barycentric Subpaces.•The group-wise analysis of the features extracted from the projection.•The use of this subspace to build a prior for a cardiac registration algorithm.•The reconstruction of a sequence with three reference frames and the Barycentric coefficients. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.media.2017.12.008 | Medical Image Analysis |
Keywords | Field | DocType |
Low-dimensional analysis,Cardiac motion,Registration,Image synthesis | Pattern recognition,Subspace topology,Mean value,Linear subspace,Regularization (mathematics),Artificial intelligence,Motion estimation,Cardiac motion,Mathematics,Transitive relation,Barycentric coordinate system | Journal |
Volume | ISSN | Citations |
45 | 1361-8415 | 1 |
PageRank | References | Authors |
0.35 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marc-Michel Rohé | 1 | 72 | 4.59 |
| Maxime Sermesant | 2 | 1111 | 122.97 |
| X. Pennec | 3 | 511 | 43.47 |