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Frequency drift in MR spectroscopy at 3T

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  • Steve C.N. Hui, Johns Hopkins University, Kennedy Krieger Institute
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  • Mark Mikkelsen, Johns Hopkins University, Kennedy Krieger Institute
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  • Helge J. Zöllner, Johns Hopkins University, Kennedy Krieger Institute
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  • Vishwadeep Ahluwalia, Georgia State University
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  • Sarael Alcauter, Universidad Nacional Autonoma de Mexico
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  • Laima Baltusis, Stanford University
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  • Deborah A. Barany, University of Georgia
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  • Laura R. Barlow, University of British Columbia
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  • Robert Becker, Heidelberg University 
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  • Jeffrey I. Berman, University of Pennsylvania
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  • Adam Berrington, University of Nottingham
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  • Pallab K. Bhattacharyya, Cleveland Clinic Foundation
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  • Jakob Udby Blicher
  • Wolfgang Bogner, Medical University of Vienna
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  • Mark S. Brown, University of Colorado Anschutz Medical Campus
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  • Vince D. Calhoun, Georgia State University
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  • Ryan Castillo, Neuroscience Research Australia
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  • Kim M. Cecil, Cincinnati Children's Hospital Medical Center
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  • Yeo Bi Choi, Dartmouth College
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  • Winnie C.W. Chu, Chinese University of Hong Kong
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  • William T. Clarke, University of Oxford
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  • Alexander R. Craven, University of Bergen
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  • Koen Cuypers, Hasselt University, KU Leuven
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  • Michael Dacko, University of Freiburg
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  • Camilo de la Fuente-Sandoval, Instituto Nacional de Neurologia y Neurocirugia
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  • Patricia Desmond, University of Melbourne
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  • Aleksandra Domagalik, Jagiellonian University in Kraków
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  • Julien Dumont, Université de Lille
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  • Niall W. Duncan, Taipei Medical University
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  • Ulrike Dydak, Purdue University
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  • Katherine Dyke, University of Nottingham
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  • David A. Edmondson, Cincinnati Children's Hospital Medical Center
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  • Gabriele Ende, Heidelberg University 
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  • Lars Ersland, University of Bergen
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  • C. John Evans, Cardiff University
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  • Alan S.R. Fermin, Hiroshima University
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  • Antonio Ferretti, Gabriele d’Annunzio University
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  • Ariane Fillmer, Physikalisch-Technische Bundesanstalt
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  • Tao Gong, Shandong University
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  • Ian Greenhouse, University of Oregon
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  • James T. Grist, University of Oxford
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  • Meng Gu, Stanford University
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  • Ashley D. Harris, University of Calgary
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  • Katarzyna Hat, Jagiellonian University in Kraków
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  • Stefanie Heba, Ruhr University Bochum
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  • Eva Heckova, Medical University of Vienna
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  • John P. Hegarty, Stanford University
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  • Kirstin Friederike Heise, KU Leuven
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  • Shiori Honda, Keio University
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  • Aaron Jacobson, Department of Radiology
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  • Jacobus F.A. Jansen, Maastricht University
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  • Stephen J. Johnston, Swansea University
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  • Christopher W. Jenkins, Cardiff University
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  • Christoph Juchem, Columbia University
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  • Alayar Kangarlu, Columbia University
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  • Adam B. Kerr, Stanford University
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  • Karl Landheer, Columbia University
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  • Thomas Lange, University of Freiburg
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  • Phil Lee, University of Kansas
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  • Swati Rane Levendovszky, University of Washington
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  • Catherine Limperopoulos, Children’s National Hospital
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  • Feng Liu, Columbia University
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  • William Lloyd, University of Manchester
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  • David J. Lythgoe, King's College London
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  • Maro G. Machizawa, Hiroshima University
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  • Erin L. MacMillan, University of British Columbia, Philips Canada
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  • Richard J. Maddock, University of California at Davis
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  • Andrei V. Manzhurtsev, Clinical and Research Institute of Emergency Pediatric Surgery and Trauma, Russian Academy of Sciences
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  • María L. Martinez-Gudino, Instituto Nacional de Psiquiatria Ramon de la Fuente
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  • Jack J. Miller
  • Heline Mirzakhanian, Department of Radiology
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  • Marta Moreno-Ortega, Columbia University
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  • Paul G. Mullins, Bangor University
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  • Shinichiro Luke Nakajima, Keio University
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  • Jamie Near, McGill University
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  • Ralph Noeske, GE Healthcare
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  • Wibeke Nordhøy, University of Oslo
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  • Georg Oeltzschner, Johns Hopkins University, Kennedy Krieger Institute
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  • Raul Osorio-Duran, Instituto Nacional de Psiquiatria Ramon de la Fuente
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  • Maria C.G. Otaduy, Universidade de Sao Paulo
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  • Erick H. Pasaye, Universidad Nacional Autonoma de Mexico
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  • Ronald Peeters, KU Leuven
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  • Scott J. Peltier, University of Michigan, Ann Arbor
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  • Ulrich Pilatus, Goethe University Frankfurt
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  • Nenad Polomac, Goethe University Frankfurt
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  • Eric C. Porges, University of Florida
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  • Subechhya Pradhan, Children’s National Hospital
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  • James Joseph Prisciandaro, Medical University of South Carolina
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  • Nicolaas A. Puts, King's College London
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  • Caroline D. Rae, Neuroscience Research Australia
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  • Francisco Reyes-Madrigal, Instituto Nacional de Neurologia y Neurocirugia
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  • Timothy P.L. Roberts, University of Pennsylvania
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  • Caroline E. Robertson, Dartmouth College
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  • Jens T. Rosenberg, University of Florida
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  • Diana Georgiana Rotaru, King's College London
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  • Ruth L. O'Gorman Tuura, University of Zurich
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  • Muhammad G. Saleh, University of Maryland, Baltimore
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  • Kristian Sandberg
  • Ryan Sangill
  • Keith Schembri, Mater Dei Hospital
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  • Anouk Schrantee, University of Amsterdam
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  • Natalia A. Semenova, Clinical and Research Institute of Emergency Pediatric Surgery and Trauma, Russian Academy of Sciences
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  • Debra Singel, University of Colorado Anschutz Medical Campus
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  • Rouslan Sitnikov, Karolinska Institutet
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  • Jolinda Smith, University of Oregon
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  • Yulu Song, Shandong University
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  • Craig Stark, University of California at Irvine
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  • Diederick Stoffers, Netherlands Institute of Ecology
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  • Stephan P. Swinnen, KU Leuven
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  • Rongwen Tain, University of California at Irvine
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  • Costin Tanase, University of California at Davis
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  • Sofie Tapper, Johns Hopkins University, Kennedy Krieger Institute
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  • Martin Tegenthoff, Ruhr University Bochum
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  • Thomas Thiel, Heinrich Heine University Düsseldorf
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  • Marc Thioux, University of Groningen
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  • Peter Truong, University of Toronto
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  • Pim van Dijk, University of Groningen
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  • Nolan Vella, Mater Dei Hospital
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  • Rishma Vidyasagar, Florey Institute of Neuroscience and Mental Health
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  • Andrej Vovk, University of Ljubljana
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  • Guangbin Wang, Shandong University
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  • Lars T. Westlye, University of Oslo
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  • Timothy K. Wilbur, University of Washington
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  • William R. Willoughby, University of Alabama at Birmingham
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  • Martin Wilson, University of Birmingham
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  • Hans Jörg Wittsack, Heinrich Heine University Düsseldorf
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  • Adam J. Woods, University of Florida
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  • Yen Chien Wu, TMU-Shuang Ho Hospital
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  • Junqian Xu, Baylor College of Medicine
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  • Maria Yanez Lopez, King's College London
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  • David K.W. Yeung, Chinese University of Hong Kong
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  • Qun Zhao, University of Georgia
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  • Xiaopeng Zhou, Purdue University
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  • Gasper Zupan, University of Ljubljana
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  • Richard A.E. Edden, Johns Hopkins University, Kennedy Krieger Institute

Purpose: Heating of gradient coils and passive shim components is a common cause of instability in the B0 field, especially when gradient intensive sequences are used. The aim of the study was to set a benchmark for typical drift encountered during MR spectroscopy (MRS) to assess the need for real-time field-frequency locking on MRI scanners by comparing field drift data from a large number of sites. Method: A standardized protocol was developed for 80 participating sites using 99 3T MR scanners from 3 major vendors. Phantom water signals were acquired before and after an EPI sequence. The protocol consisted of: minimal preparatory imaging; a short pre-fMRI PRESS; a ten-minute fMRI acquisition; and a long post-fMRI PRESS acquisition. Both pre- and post-fMRI PRESS were non-water suppressed. Real-time frequency stabilization/adjustment was switched off when appropriate. Sixty scanners repeated the protocol for a second dataset. In addition, a three-hour post-fMRI MRS acquisition was performed at one site to observe change of gradient temperature and drift rate. Spectral analysis was performed using MATLAB. Frequency drift in pre-fMRI PRESS data were compared with the first 5:20 minutes and the full 30:00 minutes of data after fMRI. Median (interquartile range) drifts were measured and showed in violin plot. Paired t-tests were performed to compare frequency drift pre- and post-fMRI. A simulated in vivo spectrum was generated using FID-A to visualize the effect of the observed frequency drifts. The simulated spectrum was convolved with the frequency trace for the most extreme cases. Impacts of frequency drifts on NAA and GABA were also simulated as a function of linear drift. Data from the repeated protocol were compared with the corresponding first dataset using Pearson's and intraclass correlation coefficients (ICC). Results: Of the data collected from 99 scanners, 4 were excluded due to various reasons. Thus, data from 95 scanners were ultimately analyzed. For the first 5:20 min (64 transients), median (interquartile range) drift was 0.44 (1.29) Hz before fMRI and 0.83 (1.29) Hz after. This increased to 3.15 (4.02) Hz for the full 30 min (360 transients) run. Average drift rates were 0.29 Hz/min before fMRI and 0.43 Hz/min after. Paired t-tests indicated that drift increased after fMRI, as expected (p < 0.05). Simulated spectra convolved with the frequency drift showed that the intensity of the NAA singlet was reduced by up to 26%, 44 % and 18% for GE, Philips and Siemens scanners after fMRI, respectively. ICCs indicated good agreement between datasets acquired on separate days. The single site long acquisition showed drift rate was reduced to 0.03 Hz/min approximately three hours after fMRI. Discussion: This study analyzed frequency drift data from 95 3T MRI scanners. Median levels of drift were relatively low (5-min average under 1 Hz), but the most extreme cases suffered from higher levels of drift. The extent of drift varied across scanners which both linear and nonlinear drifts were observed.

Original languageEnglish
Article number118430
JournalNeuroImage
Volume241
ISSN1053-8119
DOIs
Publication statusPublished - 1 Nov 2021

Bibliographical note

Publisher Copyright:
© 2021

    Research areas

  • 3T, Frequency drift, Magnetic resonance spectroscopy (MRS), Multi-site, Multi-vendor, Press

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