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Improved dynamic distortion correction for fMRI using single-echo EPI and a readout-reversed first image (REFILL).
Robinson, Simon Daniel; Bachrata, Beata; Eckstein, Korbinian; Bollmann, Saskia; Bollmann, Steffen; Hodono, Shota; Cloos, Martijn; Tourell, Monique; Jin, Jin; O'Brien, Kieran; Reutens, David C; Trattnig, Siegfried; Enzinger, Christian; Barth, Markus.
Afiliação
  • Robinson SD; Centre of Advanced Imaging, University of Queensland, Brisbane, Australia.
  • Bachrata B; Department of Neurology, Medical University of Graz, Graz, Austria.
  • Eckstein K; High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Bollmann S; Karl Landsteiner Institute for Clinical Molecular MR in Musculoskeletal Imaging, Vienna, Austria.
  • Bollmann S; High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Hodono S; Karl Landsteiner Institute for Clinical Molecular MR in Musculoskeletal Imaging, Vienna, Austria.
  • Cloos M; Department of Medical Engineering, Carinthia University of Applied Sciences, Klagenfurt, Austria.
  • Tourell M; High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Jin J; Centre of Advanced Imaging, University of Queensland, Brisbane, Australia.
  • O'Brien K; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia.
  • Reutens DC; Centre of Advanced Imaging, University of Queensland, Brisbane, Australia.
  • Trattnig S; ARC Training Centre for Innovation in Biomedical Imaging Technology (CIBIT), The University of Queensland, Brisbane, Australia.
  • Enzinger C; Centre of Advanced Imaging, University of Queensland, Brisbane, Australia.
  • Barth M; ARC Training Centre for Innovation in Biomedical Imaging Technology (CIBIT), The University of Queensland, Brisbane, Australia.
Hum Brain Mapp ; 44(15): 5095-5112, 2023 10 15.
Article em En | MEDLINE | ID: mdl-37548414
ABSTRACT
The 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.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Encéfalo / Mapeamento Encefálico / Imagem Ecoplanar Limite: Humans Idioma: En Revista: Hum Brain Mapp Assunto da revista: CEREBRO Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Encéfalo / Mapeamento Encefálico / Imagem Ecoplanar Limite: Humans Idioma: En Revista: Hum Brain Mapp Assunto da revista: CEREBRO Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália