Name
Abstract | ||
|---|---|---|
Aligning a pair of images in a mid-space is a common approach to ensuring that deformable image registration is symmetric - that it does not depend on the arbitrary ordering of the input images. The results are, however, generally dependent on the choice of the mid-space. In particular, the set of possible solutions is typically affected by the constraints that are enforced on the two transformations (that deform the two images), which are to prevent the mid-space from drifting too far from the native image spaces. The use of an implicit atlas has been proposed to define the mid-space for registration. In this work, by aligning the atlas to each image in the native image space, we make implicit-atlas-based pairwise registration independent of the mid-space, thereby eliminating the need for anti-drift constraints. We derive a new symmetric data term that only depends on a single transformation morphing one image to the other, and validate it through diffeomorphic registration experiments on brain MR images. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-24571-3_32 | Lecture Notes in Computer Science |
Field | DocType | Volume |
Computational anatomy,Morphing,Pairwise comparison,Computer vision,Computer science,Artificial intelligence,Image registration,Diffeomorphism | Conference | 9350 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.35 |
References | Authors | |
17 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Iman Aganj | 1 | 195 | 18.93 |
| Iglesias Juan Eugenio | 2 | 497 | 31.51 |
| Martin Reuter | 3 | 349 | 16.09 |
| Sabuncu Mert R. | 4 | 1344 | 78.78 |
| Fischl Bruce | 5 | 4131 | 219.39 |