Chapter title |
Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration
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Chapter number | 32 |
Book title |
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
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Published in |
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, October 2015
|
DOI | 10.1007/978-3-319-24571-3_32 |
Pubmed ID | |
Book ISBNs |
978-3-31-924570-6, 978-3-31-924571-3
|
Authors |
Iman Aganj, Eugenio Iglesias, Martin Reuter, Mert R. Sabuncu, Bruce Fischl |
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 pairwise registration. In this work, we show that by aligning the atlas to each image in the native image space, implicit-atlas-based pairwise registration can be made independent of the mid-space, thereby eliminating the need for anti-drift constraints. We derive a new symmetric cost function that only depends on a single transformation morphing one image to the other, and validate it through diffeomorphic registration experiments on brain magnetic resonance images. |
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