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Correcting dynamic distortions in 7T echo planar imaging using a jittered echo time sequence.
Dymerska, Barbara; Poser, Benedikt A; Bogner, Wolfgang; Visser, Eelke; Eckstein, Korbinian; Cardoso, Pedro; Barth, Markus; Trattnig, Siegfried; Robinson, Simon D.
Afiliação
  • Dymerska B; High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Poser BA; Faculty, of Psychology and Neuroscience, Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands.
  • Bogner W; High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Visser E; FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
  • Eckstein K; High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Cardoso P; High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Barth M; Centre for Advanced Imaging, University of Queensland, Brisbane, Queensland, Australia.
  • Trattnig S; High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Robinson SD; High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria. simon.robinson@meduniwien.ac.at.
Magn Reson Med ; 76(5): 1388-1399, 2016 11.
Article em En | MEDLINE | ID: mdl-26584148
ABSTRACT

PURPOSE:

To develop a distortion correction method for echo planar imaging (EPI) that is able to measure dynamic changes in B0 . 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°, 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 <1 mm and repositioned active voxels correctly.

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. Magn Reson Med 761388-1399, 2016. © 2015 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Processamento de Sinais Assistido por Computador / Encéfalo / Mapeamento Encefálico / Aumento da Imagem / Artefatos / Imagem Ecoplanar Tipo de estudo: Diagnostic_studies / Evaluation_studies / Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Áustria

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Processamento de Sinais Assistido por Computador / Encéfalo / Mapeamento Encefálico / Aumento da Imagem / Artefatos / Imagem Ecoplanar Tipo de estudo: Diagnostic_studies / Evaluation_studies / Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Áustria