DR-BUDDI (Diffeomorphic Registration for Blip-Up blip-Down Diffusion Imaging) method for correcting echo planar imaging distortions

M. Okan Irfanoglu, Pooja Modi, Amritha Nayak, Elizabeth B. Hutchinson, Joelle Sarlls, Carlo Pierpaoli

Research output: Contribution to journalArticlepeer-review

89 Scopus citations

Abstract

We propose an echo planar imaging (EPI) distortion correction method (DR-BUDDI), specialized for diffusion MRI, which uses data acquired twice with reversed phase encoding directions, often referred to as blip-up blip-down acquisitions. DR-BUDDI can incorporate information from an undistorted structural MRI and also use diffusion-weighted images (DWI) to guide the registration, improving the quality of the registration in the presence of large deformations and in white matter regions. DR-BUDDI does not require the transformations for correcting blip-up and blip-down images to be the exact inverse of each other. Imposing the theoretical "blip-up blip-down distortion symmetry" may not be appropriate in the presence of common clinical scanning artifacts such as motion, ghosting, Gibbs ringing, vibrations, and low signal-to-noise. The performance of DR-BUDDI is evaluated with several data sets and compared to other existing blip-up blip-down correction approaches. The proposed method is robust and generally outperforms existing approaches. The inclusion of the DWIs in the correction process proves to be important to obtain a reliable correction of distortions in the brain stem. Methods that do not use DWIs may produce a visually appealing correction of the non-diffusion weighted images, but the directionally encoded color maps computed from the tensor reveal an abnormal anatomy of the white matter pathways.

Original languageEnglish (US)
Pages (from-to)284-299
Number of pages16
JournalNeuroImage
Volume106
DOIs
StatePublished - Feb 1 2015
Externally publishedYes

Keywords

  • Diffeomorphic image registration
  • Diffusion tensor imaging
  • Echo planar imaging
  • Reversed phase encoding

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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