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Frequency drift in MR spectroscopy at 3T.
Hui, Steve C N; Mikkelsen, Mark; Zöllner, Helge J; Ahluwalia, Vishwadeep; Alcauter, Sarael; Baltusis, Laima; Barany, Deborah A; Barlow, Laura R; Becker, Robert; Berman, Jeffrey I; Berrington, Adam; Bhattacharyya, Pallab K; Blicher, Jakob Udby; Bogner, Wolfgang; Brown, Mark S; Calhoun, Vince D; Castillo, Ryan; Cecil, Kim M; Choi, Yeo Bi; Chu, Winnie C W; Clarke, William T; Craven, Alexander R; Cuypers, Koen; Dacko, Michael; de la Fuente-Sandoval, Camilo; Desmond, Patricia; Domagalik, Aleksandra; Dumont, Julien; Duncan, Niall W; Dydak, Ulrike; Dyke, Katherine; Edmondson, David A; Ende, Gabriele; Ersland, Lars; Evans, C John; Fermin, Alan S R; Ferretti, Antonio; Fillmer, Ariane; Gong, Tao; Greenhouse, Ian; Grist, James T; Gu, Meng; Harris, Ashley D; Hat, Katarzyna; Heba, Stefanie; Heckova, Eva; Hegarty, John P; Heise, Kirstin-Friederike; Honda, Shiori; Jacobson, Aaron.
Afiliación
  • Hui SCN; Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
  • Mikkelsen M; Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
  • Zöllner HJ; Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
  • Ahluwalia V; GSU/GT Center for Advanced Brain Imaging, Georgia Institute of Technology, Atlanta, GA USA.
  • Alcauter S; Instituto de Neurobiología, Universidad Nacional Autónoma de México, Queretaro, Mexico.
  • Baltusis L; Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA USA.
  • Barany DA; Department of Kinesiology, University of Georgia, and Augusta University/University of Georgia Medical Partnership, Athens, GA USA.
  • Barlow LR; Department of Radiology, Faculty of Medicine, The University of British Columbia, Vancouver, Canada.
  • Becker R; Center for Innovative Psychiatry and Psychotherapy Research, Department Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
  • Berman JI; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA USA.
  • Berrington A; Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
  • Bhattacharyya PK; Imaging Institute, The Cleveland Clinic, Cleveland, OH USA.
  • Blicher JU; Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark.
  • Bogner W; Department of Biomedical Imaging and Image-guided Therapy, High-Field MR Center, Medical University of Vienna, Vienna, Austria.
  • Brown MS; Department of Radiology, Medical Physics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Calhoun VD; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA USA.
  • Castillo R; NeuRA Imaging, Neuroscience Research Australia, Randwick, Australia.
  • Cecil KM; Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH USA.
  • Choi YB; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH USA.
  • Chu WCW; Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China.
  • Clarke WT; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
  • Craven AR; Department of Biological and Medical Psychology, University of Bergen, Haukeland University Hospital, Bergen, Norway.
  • Cuypers K; REVAL Rehabilitation Research Institute (REVAL), Hasselt University, Diepenbeek, Belgium; Department of Movement Sciences, KU Leuven, Leuven, Belgium.
  • Dacko M; Department of Radiology, Medical Physics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • de la Fuente-Sandoval C; Laboratory of Experimental Psychiatry & Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico.
  • Desmond P; Department of Radiology, University of Melbourne/ Royal Melbourne Hospital, Melbourne, Australia.
  • Domagalik A; Brain Imaging Core Facility, Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.
  • Dumont J; Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, F-59000 Lille, France.
  • Duncan NW; Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan.
  • Dydak U; School of Health Sciences, Purdue University, West Lafayette, IN USA.
  • Dyke K; School of Psychology, University of Nottingham, Nottingham, UK.
  • Edmondson DA; Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH USA.
  • Ende G; Center for Innovative Psychiatry and Psychotherapy Research, Department Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
  • Ersland L; Department of Clinical Engineering, University of Bergen, Haukeland University Hospital, Bergen, Norway.
  • Evans CJ; CUBRIC, Cardiff university, Cardiff, Wales, UK.
  • Fermin ASR; Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima, Japan.
  • Ferretti A; Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy.
  • Fillmer A; Physikalisch-Technische Bundesanstalt (PTB), Braunschweig und Berlin, Germany.
  • Gong T; Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Shandong University, Jinan, China.
  • Greenhouse I; Department of Human Physiology, University of Oregon, Eugene, OR USA.
  • Grist JT; Department of Physiology, Anatomy, and Genetics, Oxford Centre for Magnetic Resonance / Department of Radiology, The Churchill Hospital, The University of Oxford, Oxford, UK.
  • Gu M; Department of Radiology, Stanford University, Stanford, CA, USA.
  • Harris AD; Department of Radiology, University of Calgary, Calgary, Canada.
  • Hat K; Consciousness Lab, Institute of Psychology, Jagiellonian University, Kraków, Poland.
  • Heba S; Department of Neurology, BG University Hospital Bergmannsheil, Bochum, Germany.
  • Heckova E; Department of Biomedical Imaging and Image-guided Therapy, High-Field MR Center, Medical University of Vienna, Vienna, Austria.
  • Hegarty JP; Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA.
  • Heise KF; Department of Movement Sciences, KU Leuven, Leuven, Belgium.
  • Honda S; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
  • Jacobson A; Department of Radiology / Psychiatry, University of California San Diego, San Diego, CA USA.
Neuroimage ; 241: 118430, 2021 11 01.
Article en En | MEDLINE | ID: mdl-34314848
ABSTRACT

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 520 minutes and the full 3000 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 520 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética / Espectroscopía de Resonancia Magnética / Bases de Datos Factuales / Análisis de Datos Límite: Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética / Espectroscopía de Resonancia Magnética / Bases de Datos Factuales / Análisis de Datos Límite: Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos