International Conference on Medical Image Computing and Computer-Assisted Intervention

MICCAI 2015: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 pp 263-271 | Cite as

Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration

  • Iman Aganj
  • Eugenio Iglesias
  • Martin Reuter
  • Mert R. Sabuncu
  • Bruce Fischl
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9350)

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.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Iman Aganj
    • 1
  • Eugenio Iglesias
    • 2
  • Martin Reuter
    • 1
    • 3
  • Mert R. Sabuncu
    • 1
    • 3
  • Bruce Fischl
    • 1
    • 3
  1. 1.Martinos CenterMassachusetts General Hospital, Harvard Medical SchoolBostonUSA
  2. 2.Basque Center on Cognition, Brain and Language (BCBL)San SebastianSpain
  3. 3.CSAILMassachusetts Institute of TechnologyCambridgeUSA

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