Assessing methods for geometric distortion compensation in 7 T gradient echo functional MRI data.

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Bibliographic Details
Title: Assessing methods for geometric distortion compensation in 7 T gradient echo functional MRI data.
Authors: Schallmo MP; Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota, USA., Weldon KB; Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota, USA.; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA., Burton PC; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.; Office of the College of Liberal Arts Associate Dean for Research, University of Minnesota, Minneapolis, Minnesota, USA., Sponheim SR; Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota, USA.; Veterans Affairs Medical Center, Minneapolis, Minnesota, USA., Olman CA; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.; Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA.
Source: Human brain mapping [Hum Brain Mapp] 2021 Sep; Vol. 42 (13), pp. 4205-4223. Date of Electronic Publication: 2021 Jun 22.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 9419065 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0193 (Electronic) Linking ISSN: 10659471 NLM ISO Abbreviation: Hum Brain Mapp Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1097-0193
DOI:10.1002/hbm.25540