Frequency Drift in MR Spectroscopy at 3T

Autor: Helge J. Zöllner, Pallab K. Bhattacharyya, Feng Liu, Camilo de la Fuente-Sandoval, Debra Singel, Nolan Vella, Vince D. Calhoun, Peter Truong, Ruth O'Gorman Tuura, Timothy K. Wilbur, Anouk Schrantee, Heline Mirzakhanian, Natalia Semenova, Shinichiro Nakajima, Kim M. Cecil, Katarzyna Hat, Catherine Limperopoulos, A Fillmer, Eric C. Porges, William T. Clarke, Christopher Jenkins, Koen Cuypers, Ronald Peeters, Xiaopeng Zhou, Yulu Song, James J. Prisciandaro, Muhammad G. Saleh, Craig E.L. Stark, Aleksandra Domagalik, Erin L. MacMillan, Stephen J. Johnston, Laima Baltusis, Stephan P. Swinnen, Laura Barlow, David J. Lythgoe, Jamie Near, Diederick Stoffers, Julien Dumont, Jeffrey I. Berman, Rishma Vidyasagar, Caroline Rae, A. V. Manzhurtsev, Robert Becker, María L. Martinez-Gudino, Stefanie Heba, Richard J. Maddock, Qun Zhao, Ian Greenhouse, Wibeke Nordhøy, Adam J. Woods, Deborah A. Barany, Mark Mikkelsen, Nicolaas A.J. Puts, David A. Edmondson, Sofie Tapper, Lars Ersland, Pim van Dijk, Jolinda Smith, Niall W. Duncan, Kirstin Heise, Junqian Xu, Costin Tanase, Tao Gong, William Lloyd, Ralph Noeske, Karl Landheer, Antonio Ferretti, Paul G. Mullins, Jacobus F.A. Jansen, Shiori Honda, Maria Yanez Lopez, Meng Gu, John P. Hegarty, Jack J. Miller, Thomas Thiel, Vishwadeep Ahluwalia, Patricia Desmond, Maro G. Machizawa, Jakob Udby Blicher, James T. Grist, Hans Jörg Wittsack, C. John Evans, Eva Heckova, Timothy P.L. Roberts, Martin Tegenthoff, Alayar Kangarlu, Ulrike Dydak, David K.W. Yeung, Diana Georgiana Rotaru, Lars T. Westlye, Jens T. Rosenberg, Adam Berrington, Francisco Reyes-Madrigal, Georg Oeltzschner, Richard A.E. Edden, Scott Peltier, Ashley D. Harris, Yeo Bi Choi, Marc Thioux, Mark S. Brown, Ulrich Pilatus, Marta Moreno-Ortega, Michael Dacko, Keith Schembri, Gabriele Ende, Guangbin Wang, Winnie C.W. Chu, Martin Wilson, Adam B. Kerr, Ryan Sangill, Alexander R. Craven, Rouslan Sitnikov, Kristian Sandberg, Katherine Dyke, Erick H. Pasaye, Swati Rane Levendovszky, Steve C.N. Hui, Yen Chien Wu, Rong-Wen Tain, Maria Concepcion Garcia Otaduy, Phil Lee, Andrej Vovk, Wolfgang Bogner, Gasper Zupan, Raul Osorio-Duran, Sarael Alcauter, Ryan Castillo, W. R. Willoughby, Christoph Juchem, Subechhya Pradhan, Caroline E. Robertson, Thomas Lange, Aaron Jacobson, Nenad Polomac, Alan S.R. Fermin
Přispěvatelé: Spinoza Centre for Neuroimaging, Perceptual and Cognitive Neuroscience (PCN), Radiology and Nuclear Medicine, APH - Personalized Medicine, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Graduate School, AMS - Sports, APH - Mental Health, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Beeldvorming, MUMC+: DA BV Klinisch Fysicus (9)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: NeuroImage, 241. Academic Press
Neuroimage, 241:118430. ACADEMIC PRESS INC ELSEVIER SCIENCE
NeuroImage, 241:118430. Academic Press Inc.
Hui, S C N, Mikkelsen, M, Zöllner, H J, Ahluwalia, V, Alcauter, S, Baltusis, L, Barany, D A, Barlow, L R, Becker, R, Berman, J I, Berrington, A, Bhattacharyya, P K, Blicher, J U, Bogner, W, Brown, M S, Calhoun, V D, Castillo, R, Cecil, K M, Choi, Y B, Chu, W C W, Clarke, W T, Craven, A R, Cuypers, K, Dacko, M, de la Fuente-Sandoval, C, Desmond, P, Domagalik, A, Dumont, J, Duncan, N W, Dydak, U, Dyke, K, Edmondson, D A, Ende, G, Ersland, L, Evans, C J, Fermin, A S R, Ferretti, A, Fillmer, A, Gong, T, Greenhouse, I, Grist, J T, Gu, M, Harris, A D, Hat, K, Heba, S, Heckova, E, Hegarty, J P, Heise, K F, Honda, S, Jacobson, A, Jansen, J F A, Johnston, S J, Jenkins, C W, Juchem, C, Kangarlu, A, Kerr, A B, Landheer, K, Lange, T, Lee, P, Levendovszky, S R, Limperopoulos, C, Liu, F, Lloyd, W, Lythgoe, D J, Machizawa, M G, MacMillan, E L, Maddock, R J, Manzhurtsev, A V, Martinez-Gudino, M L, Miller, J J, Mirzakhanian, H, Moreno-Ortega, M, Mullins, P G, Nakajima, S L, Near, J, Noeske, R, Nordhøy, W, Oeltzschner, G, Osorio-Duran, R, Otaduy, M C G, Pasaye, E H, Peeters, R, Peltier, S J, Pilatus, U, Polomac, N, Porges, E C, Pradhan, S, Prisciandaro, J J, Puts, N A, Rae, C D, Reyes-Madrigal, F, Roberts, T P L, Robertson, C E, Rosenberg, J T, Rotaru, D G, O'Gorman Tuura, R L, Saleh, M G, Sandberg, K, Sangill, R, Schembri, K, Schrantee, A, Semenova, N A, Singel, D, Sitnikov, R, Smith, J, Song, Y, Stark, C, Stoffers, D, Swinnen, S P, Tain, R, Tanase, C, Tapper, S, Tegenthoff, M, Thiel, T, Thioux, M, Truong, P, van Dijk, P, Vella, N, Vidyasagar, R, Vovk, A, Wang, G, Westlye, L T, Wilbur, T K, Willoughby, W R, Wilson, M, Wittsack, H J, Woods, A J, Wu, Y C, Xu, J, Lopez, M Y, Yeung, D K W, Zhao, Q, Zhou, X, Zupan, G & Edden, R A E 2021, ' Frequency drift in MR spectroscopy at 3T ', NeuroImage, vol. 241, 118430 . https://doi.org/10.1016/j.neuroimage.2021.118430
NeuroImage
NeuroImage, Vol 241, Iss, Pp 118430-(2021)
Neuroimage
Neuroimage, 241:118430. Elsevier Science
ISSN: 1053-8119
Popis: 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.
Databáze: OpenAIRE
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