Improved dynamic distortion correction for fMRI using single‐echo EPI and a readout‐reversed first image (REFILL)

Author:

Robinson Simon Daniel1234ORCID,Bachrata Beata345ORCID,Eckstein Korbinian3ORCID,Bollmann Saskia1ORCID,Bollmann Steffen6ORCID,Dymerska Barbara7,Hodono Shota18ORCID,Cloos Martijn18ORCID,Tourell Monique19ORCID,Jin Jin9ORCID,O'Brien Kieran9ORCID,Reutens David C.18ORCID,Trattnig Siegfried3ORCID,Enzinger Christian2ORCID,Barth Markus16ORCID

Affiliation:

1. Centre of Advanced Imaging University of Queensland Brisbane Australia

2. Department of Neurology Medical University of Graz Graz Austria

3. High Field MR Centre, Department of Biomedical Imaging and Image‐Guided Therapy Medical University of Vienna Vienna Austria

4. Karl Landsteiner Institute for Clinical Molecular MR in Musculoskeletal Imaging Vienna Austria

5. Department of Medical Engineering Carinthia University of Applied Sciences Klagenfurt Austria

6. School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia

7. Wellcome Centre for Human Neuroimaging UCL Queen Square Institute of Neurology, University College London UK

8. ARC Training Centre for Innovation in Biomedical Imaging Technology (CIBIT) The University of Queensland Brisbane Australia

9. Siemens Healthcare Pty Ltd. Brisbane Australia

Abstract

AbstractThe boundaries between tissues with different magnetic susceptibilities generate inhomogeneities in the main magnetic field which change over time due to motion, respiration and system instabilities. The dynamically changing field can be measured from the phase of the fMRI data and corrected. However, methods for doing so need multi‐echo data, time‐consuming reference scans and/or involve error‐prone processing steps, such as phase unwrapping, which are difficult to implement robustly on the MRI host. The improved dynamic distortion correction method we propose is based on the phase of the single‐echo EPI data acquired for fMRI, phase offsets calculated from a triple‐echo, bipolar reference scan of circa 3–10 s duration using a method which avoids the need for phase unwrapping and an additional correction derived from one EPI volume in which the readout direction is reversed. This Reverse‐Encoded First Image and Low resoLution reference scan (REFILL) approach is shown to accurately measure B0 as it changes due to shim, motion and respiration, even with large dynamic changes to the field at 7 T, where it led to a > 20% increase in time‐series signal to noise ratio compared to data corrected with the classic static approach. fMRI results from REFILL‐corrected data were free of stimulus‐correlated distortion artefacts seen when data were corrected with static field mapping. The method is insensitive to shim changes and eddy current differences between the reference scan and the fMRI time series, and employs calculation steps that are simple and robust, allowing most data processing to be performed in real time on the scanner image reconstruction computer. These improvements make it feasible to routinely perform dynamic distortion correction in fMRI.

Funder

Australian Research Council

Austrian Science Fund

European Commission

National Health and Medical Research Council

National Imaging Facility

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

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