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DR-BUDDI: Diffeomorphic Registration for Blip Up-Down Diffusion Imaging

  • M. Okan Irfanoglu
  • Pooja Modi
  • Amritha Nayak
  • Andrew Knutsen
  • Joelle Sarlls
  • Carlo Pierpaoli
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8673)

Abstract

In this work we propose a novel method to correct echo planar imaging (EPI) distortions in diffusion MRI data acquired with reversed phase encoding directions (“blip-up blip-down” acquisitions). The transformation model is symmetric, diffeomorphic and capable of capturing large deformations. It can take advantage of a structural MRI target and include the contribution of diffusion weighted images, in addition to EPI images acquired without diffusion sensitization. The proposed correction significantly outperform existing strategies, assuring anatomically accurate characterization of the orientation, mean diffusivity, and anisotropy of white matter structures in the human brain.

Keywords

Fractional Anisotropy Structural Image Echo Planar Image Signal Redistribution Slice Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • M. Okan Irfanoglu
    • 1
    • 2
  • Pooja Modi
    • 1
  • Amritha Nayak
    • 1
    • 2
  • Andrew Knutsen
    • 1
    • 2
  • Joelle Sarlls
    • 1
  • Carlo Pierpaoli
    • 1
  1. 1.National Institutes of HealthBethesdaUSA
  2. 2.Center of Neuroregenerative MedicineBethesdaUSA

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