PURPOSE: Respiration induced dynamic field map changes in the brain are quantified and the influence on the magnitude signal (physiological noise) is investigated. Dynamic off-resonance correction allows to reduce the signal fluctuations overlaying the blood oxygenation level dependent signal in T2*-weighted functional imaging. THEORY AND METHODS: A single-shot whole brain imaging technique with 100 ms temporal resolution was used to measure dynamic off-resonance maps that were calculated from the incremental changes of the image phase. These off-resonance maps are then used to dynamically update the off-resonance corrected reconstruction. RESULTS: A global resonance offset and a pronounced gradient in head-foot direction were identified as the main components of the change during a respiration cycle. On average, correction for these fluctuations decreases the magnitude fluctuations by around 30%. CONCLUSION: Single shot 3D imaging allows for a robust quantification of dynamic off-resonance changes in the brain. Correction for these fluctuations removes the physiological noise component associated with dynamic point spread function changes.
PURPOSE: Respiration induced dynamic field map changes in the brain are quantified and the influence on the magnitude signal (physiological noise) is investigated. Dynamic off-resonance correction allows to reduce the signal fluctuations overlaying the blood oxygenation level dependent signal in T2*-weighted functional imaging. THEORY AND METHODS: A single-shot whole brain imaging technique with 100 ms temporal resolution was used to measure dynamic off-resonance maps that were calculated from the incremental changes of the image phase. These off-resonance maps are then used to dynamically update the off-resonance corrected reconstruction. RESULTS: A global resonance offset and a pronounced gradient in head-foot direction were identified as the main components of the change during a respiration cycle. On average, correction for these fluctuations decreases the magnitude fluctuations by around 30%. CONCLUSION: Single shot 3D imaging allows for a robust quantification of dynamic off-resonance changes in the brain. Correction for these fluctuations removes the physiological noise component associated with dynamic point spread function changes.
Authors: Pedro Lima Cardoso; Barbara Dymerska; Beáta Bachratá; Florian Ph S Fischmeister; Nina Mahr; Eva Matt; Siegfried Trattnig; Roland Beisteiner; Simon Daniel Robinson Journal: Neuroimage Date: 2016-12-25 Impact factor: 6.556
Authors: Barbara Dymerska; Benedikt A Poser; Markus Barth; Siegfried Trattnig; Simon D Robinson Journal: Neuroimage Date: 2016-07-07 Impact factor: 6.556
Authors: Esau Poblador Rodriguez; Philipp Moser; Barbara Dymerska; Simon Robinson; Benjamin Schmitt; Andre van der Kouwe; Stephan Gruber; Siegfried Trattnig; Wolfgang Bogner Journal: Magn Reson Med Date: 2019-03-28 Impact factor: 4.668
Authors: Ville Raatikainen; Vesa Korhonen; Viola Borchardt; Niko Huotari; Heta Helakari; Janne Kananen; Lauri Raitamaa; Leena Joskitt; Soile Loukusa; Tuula Hurtig; Hanna Ebeling; Lucina Q Uddin; Vesa Kiviniemi Journal: Autism Res Date: 2019-10-22 Impact factor: 5.216
Authors: Niko Huotari; Johanna Tuunanen; Lauri Raitamaa; Ville Raatikainen; Janne Kananen; Heta Helakari; Timo Tuovinen; Matti Järvelä; Vesa Kiviniemi; Vesa Korhonen Journal: Front Neurosci Date: 2022-02-03 Impact factor: 4.677
Authors: Barbara Dymerska; Benedikt A Poser; Wolfgang Bogner; Eelke Visser; Korbinian Eckstein; Pedro Cardoso; Markus Barth; Siegfried Trattnig; Simon D Robinson Journal: Magn Reson Med Date: 2015-11-19 Impact factor: 4.668
Authors: Lauri Raitamaa; Niko Huotari; Vesa Korhonen; Heta Helakari; Anssi Koivula; Janne Kananen; Vesa Kiviniemi Journal: Hum Brain Mapp Date: 2021-05-26 Impact factor: 5.038