Correcting Dynamic Distortions in 7T Echo Planar Imaging using a Jittered Echo Time Sequence

Barbara Dymerska, Benedikt A. Poser, Wolfgang Bogner, Eelke Visser, Korbinian Eckstein, Pedro Cardoso, Markus Barth, Siegfried Trattnig, Simon D. Robinson*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Purpose: To develop a distortion correction method for echo planar imaging (EPI) that is able to measure dynamic changes in B-0.

Theory and Methods: The approach we propose is based on single-echo EPI with a jittering of the echo time between two values for alternate time points. Field maps are calculated between phase images from adjacent volumes and are used to remove distortion from corresponding magnitude images. The performance of our approach was optimized using an analytical model and by comparison with field maps from dual-echo EPI. The method was tested in functional MRI experiments at 7T with motor tasks and compared with the conventional static approach.

Results: Unwarping using our method was accurate even for head rotations up to 8.2 degrees, where the static approach introduced errors up to 8.2 mm. Jittering the echo time between 19 and 25 ms had no measurable effect on blood oxygenation level-dependent (BOLD) sensitivity. Our approach reduced the distortions in activated regions to

Conclusion: This method yields accurate distortion correction in the presence of motion. No reduction in BOLD sensitivity was observed. As such, it is suitable for application in a wide range of functional MRI experiments. (C) 2015 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.

Original languageEnglish
Pages (from-to)1388-1399
Number of pages12
JournalMagnetic Resonance in Medicine
Issue number5
Early online date19 Nov 2015
Publication statusPublished - Nov 2016


  • EPI
  • dynamic distortion correction
  • fMRI
  • field mapping
  • respiration effects
  • ultra-high field
  • FMRI

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