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Start Over Author "Fillmer, Ariane" Topic magnetic resonance imaging
11 results on '"Fillmer, Ariane"'

1. Quantitative MR Image Reconstruction Using Parameter-Specific Dictionary Learning With Adaptive Dictionary-Size and Sparsity-Level Choice.

Author

Kofler A, Kerkering KM, Goschel L, Fillmer A, and Kolbitsch C

Subjects
Humans, Brain diagnostic imaging, Image Processing, Computer-Assisted methods, Algorithms, Magnetic Resonance Imaging methods
Abstract

Objective: We propose a method for the reconstruction of parameter-maps in Quantitative Magnetic Resonance Imaging (QMRI)., Methods: Because different quantitative parameter-maps differ from each other in terms of local features, we propose a method where the employed dictionary learning (DL) and sparse coding (SC) algorithms automatically estimate the optimal dictionary-size and sparsity level separately for each parameter-map. We evaluated the method on a T 1 -mapping QMRI problem in the brain using the BrainWeb data as well as in-vivo brain images acquired on an ultra-high field 7 T scanner. We compared it to a model-based acceleration for parameter mapping (MAP) approach, other sparsity-based methods using total variation (TV), Wavelets (Wl), and Shearlets (Sh) to a method which uses DL and SC to reconstruct qualitative images, followed by a non-linear (DL+Fit)., Results: Our algorithm surpasses MAP, TV, Wl, and Sh in terms of RMSE and PSNR. It yields better or comparable results to DL+Fit by additionally significantly accelerating the reconstruction by a factor of approximately seven., Conclusion: The proposed method outperforms the reported methods of comparison and yields accurate T 1 -maps. Although presented for T 1 -mapping in the brain, our method's structure is general and thus most probably also applicable for the the reconstruction of other quantitative parameters in other organs., Significance: From a clinical perspective, the obtained T 1 -maps could be utilized to differentiate between healthy subjects and patients with Alzheimer's disease. From a technical perspective, the proposed unsupervised method could be employed to obtain ground-truth data for the development of data-driven methods based on supervised learning.

Published
2024
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2. Frequency drift in MR spectroscopy at 3T.

Author

Hui SCN, Mikkelsen M, Zöllner HJ, Ahluwalia V, Alcauter S, Baltusis L, Barany DA, Barlow LR, Becker R, Berman JI, Berrington A, Bhattacharyya PK, Blicher JU, Bogner W, Brown MS, Calhoun VD, Castillo R, Cecil KM, Choi YB, Chu WCW, Clarke WT, Craven AR, Cuypers K, Dacko M, de la Fuente-Sandoval C, Desmond P, Domagalik A, Dumont J, Duncan NW, Dydak U, Dyke K, Edmondson DA, Ende G, Ersland L, Evans CJ, Fermin ASR, Ferretti A, Fillmer A, Gong T, Greenhouse I, Grist JT, Gu M, Harris AD, Hat K, Heba S, Heckova E, Hegarty JP 2nd, Heise KF, Honda S, Jacobson A, Jansen JFA, Jenkins CW, Johnston SJ, Juchem C, Kangarlu A, Kerr AB, Landheer K, Lange T, Lee P, Levendovszky SR, Limperopoulos C, Liu F, Lloyd W, Lythgoe DJ, Machizawa MG, MacMillan EL, Maddock RJ, Manzhurtsev AV, Martinez-Gudino ML, Miller JJ, Mirzakhanian H, Moreno-Ortega M, Mullins PG, Nakajima S, Near J, Noeske R, Nordhøy W, Oeltzschner G, Osorio-Duran R, Otaduy MCG, Pasaye EH, Peeters R, Peltier SJ, Pilatus U, Polomac N, Porges EC, Pradhan S, Prisciandaro JJ, Puts NA, Rae CD, Reyes-Madrigal F, Roberts TPL, Robertson CE, Rosenberg JT, Rotaru DG, O'Gorman Tuura RL, Saleh MG, Sandberg K, Sangill R, Schembri K, Schrantee A, Semenova NA, Singel D, Sitnikov R, Smith J, Song Y, Stark C, Stoffers D, Swinnen SP, 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 LT, Wilbur TK, Willoughby WR, Wilson M, Wittsack HJ, Woods AJ, Wu YC, Xu J, Lopez MY, Yeung DKW, Zhao Q, Zhou X, Zupan G, and Edden RAE

Subjects
Humans, Magnetic Resonance Imaging methods, Magnetic Resonance Spectroscopy methods, Brain diagnostic imaging, Brain metabolism, Data Analysis, Databases, Factual standards, Magnetic Resonance Imaging standards, Magnetic Resonance Spectroscopy standards
Abstract

Purpose: Heating of gradient coils and passive shim components is a common cause of instability in the B 0 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., Competing Interests: Declaration of Competing Interest Jack J. Miller would like to acknowledge the support of a Novo Nordisk Research Fellowship run in conjunction with the University of Oxford. Francisco Reyes-Madrigal has served as a speaker for Janssen (Johnson & Johnson) and AstraZeneca. Marc Thioux and Pim van Dijk were supported by The Netherlands Organization for Health Research and Development (ZonMW) and the Dorhout Mees Foundation. All other authors have no conflict of interest to declare., (Copyright © 2021. Published by Elsevier Inc.)

Published
2021
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3. A comparison of optimization algorithms for localized in vivo B 0 shimming.

Author

Nassirpour S, Chang P, Fillmer A, and Henning A

Subjects
Brain diagnostic imaging, Databases, Factual, Humans, Algorithms, Image Processing, Computer-Assisted methods, Magnetic Resonance Imaging methods
Abstract

Purpose: To compare several different optimization algorithms currently used for localized in vivo B 0 shimming, and to introduce a novel, fast, and robust constrained regularized algorithm (ConsTru) for this purpose., Methods: Ten different optimization algorithms (including samples from both generic and dedicated least-squares solvers, and a novel constrained regularized inversion method) were implemented and compared for shimming in five different shimming volumes on 66 in vivo data sets from both 7 T and 9.4 T. The best algorithm was chosen to perform single-voxel spectroscopy at 9.4 T in the frontal cortex of the brain on 10 volunteers., Results: The results of the performance tests proved that the shimming algorithm is prone to unstable solutions if it depends on the value of a starting point, and is not regularized to handle ill-conditioned problems. The ConsTru algorithm proved to be the most robust, fast, and efficient algorithm among all of the chosen algorithms. It enabled acquisition of spectra of reproducible high quality in the frontal cortex at 9.4 T., Conclusions: For localized in vivo B 0 shimming, the use of a dedicated linear least-squares solver instead of a generic nonlinear one is highly recommended. Among all of the linear solvers, the constrained regularized method (ConsTru) was found to be both fast and most robust. Magn Reson Med 79:1145-1156, 2018. © 2017 International Society for Magnetic Resonance in Medicine., (© 2017 International Society for Magnetic Resonance in Medicine.)

Published
2018
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4. Mechanisms of SNR and line shape improvement by B 0 correction in overdiscrete MRSI reconstruction.

Author

Kirchner T, Fillmer A, and Henning A

Subjects
Humans, Signal-To-Noise Ratio, Brain diagnostic imaging, Image Processing, Computer-Assisted methods, Magnetic Resonance Imaging methods
Abstract

Purpose: Inhomogeneities of the main magnetic field cause line broadening and location-dependent frequency shifts in brain MRSI. These are often visible despite advanced B 0 shimming. The purpose of this work is to propose an advanced B 0 correction method that can easily be applied during postprocessing., Methods: A target-driven overdiscrete reconstruction method previously introduced for MRSI is modified by dividing it into two steps. In a first step, an intermediate spectroscopic image with arbitrarily high resolution is generated, on which B 0 correction is performed as an additional processing step based on an additionally acquired B 0 map. This frequency-aligns metabolite peaks and destroys noise correlations between neighboring subvoxels. Second, the voxel is shaped by application of the spatial response target. The method was tested with simulated spectroscopic imaging data as well as in a series of MRSI data sets obtained from four healthy volunteers at 7T., Results: A systematic gain in spectral signal-to-noise ratio is achieved, due to spatial averaging now occurring over peak aligned and noise decorrelated subvoxel spectra. At the same time, metabolite peak line widths are reduced., Conclusion: In the presence of B 0 inhomogeneities across the field of view, the proposed method offers the potential to improve spectral quality with only a minimal additional effort during acquisition. Magn Reson Med 77:44-56, 2017. © 2015 Wiley Periodicals, Inc., (© 2016 Wiley Periodicals, Inc.)

Published
2017
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5. Fast iterative pre-emphasis calibration method enabling third-order dynamic shim updated fMRI.

Author

Fillmer A, Vannesjo SJ, Pavan M, Scheidegger M, Pruessmann KP, and Henning A

Subjects
Algorithms, Brain anatomy & histology, Brain physiology, Humans, Image Processing, Computer-Assisted methods, Magnetic Resonance Imaging methods, Signal Processing, Computer-Assisted
Abstract

Purpose: To calibrate a pre-emphasis to sufficiently compensate eddy currents for application of dynamic shim updating to fMRI without extension of scan times., Methods: Eddy current effects induced into all shim terms up to third-order were characterized by spatiotemporal field monitoring, using a third-order field camera. Pre-emphasis settings were derived from the measurements and iteratively evaluated and refined. The calibrated pre-emphasis was applied to slice-wise dynamic shim updating in combination with a dynamic excitation frequency (F0) determination and a slice-wise B0 optimization routine for in vivo echo planar imaging and resting-state functional MRI., Results: The described method for pre-emphasis calibration led to settling times of remaining eddy current effects below 2 ms, allowing for the application of dynamic shim updating to fMRI without extension of scan times or induction of eddy current related artifacts. A dynamic F0 determination compensates frequency shifts induced by the superposition of different shim fields, and therefore, prevents an image shift within the field of view. Hardware limitations necessitate the reduction of the maximum applicable B0 shim field amplitudes and restrict the shim performance., Conclusion: The proposed method enables accurate pre-emphasis calibration, and therefore, the application of dynamic shim updating to fMRI., (© 2015 Wiley Periodicals, Inc.)

Published
2016
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6. Constrained image-based B0 shimming accounting for "local minimum traps" in the optimization and field inhomogeneities outside the region of interest.

Author

Fillmer A, Kirchner T, Cameron D, and Henning A

Subjects
Adult, Female, Humans, Image Enhancement methods, Image Interpretation, Computer-Assisted methods, Male, Middle Aged, Reproducibility of Results, Sensitivity and Specificity, Brain anatomy & histology, Brain Chemistry, Heart anatomy & histology, Magnetic Resonance Imaging methods, Magnetic Resonance Spectroscopy methods, Myocardium chemistry
Abstract

Purpose: To improve B0 shimming for applications in high- and ultrahigh-field magnetic resonance imaging and magnetic resonance spectroscopy., Methods: An existing image-based constrained B0 shimming algorithm was enhanced using two techniques: (1) A region of less interest was introduced to control B0 field inhomogeneities in the vicinity of the region of interest; (2) multiple sets of starting values were used for the fitting routine, to avoid "getting trapped" in a local minimum of the optimization function. The influence of constraints during the fitting procedure, due to hardware limitations, on the B0 shim result was investigated. The performance of this algorithm was compared to other B0 shim algorithms for typical shim problems in head and body applications at 3T and 7T., Results: Utilization of a weighted region of less interest lead to a significant gain in B0 homogeneity adjacent to the region of interest. The loss of B0 quality due to the enlarged total shim volume within the region of interest remained minimal, allowing for improved artifact reduction in magnetic resonance spectroscopic imaging. Multiple sets of starting values and consideration of shim field constraints led to an additional gain in B0 shim quality., Conclusion: The proposed algorithm allows for more flexible control of B0 inhomogeneities and, hence, enables gains in image and spectral quality for MR applications. RO1AR050597, (© 2014 Wiley Periodicals, Inc.)

Published
2015
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7. Reduction of voxel bleeding in highly accelerated parallel (1) H MRSI by direct control of the spatial response function.

Author

Kirchner T, Fillmer A, Tsao J, Pruessmann KP, and Henning A

Subjects
Brain anatomy & histology, Humans, Imaging, Three-Dimensional methods, Molecular Imaging methods, Reproducibility of Results, Sensitivity and Specificity, Spatio-Temporal Analysis, Tissue Distribution, Algorithms, Artifacts, Brain metabolism, Image Enhancement methods, Magnetic Resonance Imaging methods, Proton Magnetic Resonance Spectroscopy methods
Abstract

Purpose: To substantially improve spatial localization in magnetic resonance spectroscopic imaging (MRSI) accelerated by parallel imaging. This is important in order to make MRSI more reliable as a tool for clinical applications., Methods: The sensitivity encoding acceleration technique with spatial overdiscretization is applied for the reconstruction of parallel MRSI. In addition, the spatial response function is optimized by minimizing its deviation from a previously chosen target function. This modified minimum-norm sensitivity encoding-MRSI reconstruction approach is applied in this article for in vivo pulse-acquire MRSI of human brain at 7T with simulated acceleration factors of 2, 4, and 9 as well as actual 4-fold accelerated MRSI., Results: The sidelobes of the spatial response function are significantly suppressed, which reduces far-reaching voxel bleeding. At the same time, the major enlargement of the effective voxel size, which would be introduced by conventional k-space apodization methods, is largely avoided. Regularization allows for a practical trade-off between noise minimization, effective voxel size, and unaliasing. Although not aiming at increasing the nominal spatial resolution, a better spatial specificity is achieved., Conclusion: Simultaneous suppression of short- and far-reaching voxel bleeding in MRSI is analyzed and reconstruction of highly accelerated parallel in vivo MRSI is demonstrated., (© 2014 Wiley Periodicals, Inc.)

Published
2015
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8. Frequency drift in MR spectroscopy at 3T.

Author

Hui, Steve CN, 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 CW, 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 SR, 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, Jansen, Jacobus FA, Jenkins, Christopher W, Johnston, Stephen J, Juchem, Christoph, Kangarlu, Alayar, Kerr, Adam B, Landheer, Karl, Lange, Thomas, Lee, Phil, Levendovszky, Swati Rane, Limperopoulos, Catherine, Liu, Feng, Lloyd, William, Lythgoe, David J, Machizawa, Maro G, MacMillan, Erin L, Maddock, Richard J, Manzhurtsev, Andrei V, Martinez-Gudino, María L, Miller, Jack J, Mirzakhanian, Heline, Moreno-Ortega, Marta, Mullins, Paul G, Nakajima, Shinichiro, Near, Jamie, Noeske, Ralph, Nordhøy, Wibeke, Oeltzschner, Georg, Osorio-Duran, Raul, Otaduy, Maria CG, Pasaye, Erick H, Peeters, Ronald, Peltier, Scott J, Pilatus, Ulrich, Polomac, Nenad, Porges, Eric C, Pradhan, Subechhya, Prisciandaro, James Joseph, Puts, Nicolaas A, Rae, Caroline D, Reyes-Madrigal, Francisco, Roberts, Timothy PL, Robertson, Caroline E, Rosenberg, Jens T, Rotaru, Diana-Georgiana, O'Gorman Tuura, Ruth L, Saleh, Muhammad G, Sandberg, Kristian, Sangill, Ryan, and Schembri, Keith

Subjects
3T, Frequency drift, Magnetic resonance spectroscopy, Multi-site, Multi-vendor, Press, Brain, Data Analysis, Databases, Factual, Humans, Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, Clinical Research, Biomedical Imaging, Neurology & Neurosurgery, Medical and Health Sciences, Psychology and Cognitive Sciences
Abstract

PurposeHeating 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.MethodA 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).ResultsOf 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.DiscussionThis 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.

Published
2021

9. Pentafluorosulfanyl (SF(5)) as a superior (19)F magnetic resonance reporter group: signal detection and biological activity of teriflunomide derivatives

Author

Prinz, Christian, Starke, Ludger, Ramspoth, Tizian-Frank, Kerkering, Janis, Martos Riaño, Vera, Paul, Jérôme, Neuenschwander, Martin, Oder, Andreas, Radetzki, Silke, Adelhoefer, Siegfried, Ramos Delgado, Paula, Aravina, Mariya, Millward, Jason M., Fillmer, Ariane, Paul, Friedemann, Siffrin, Volker, von Kries, Jens-Peter, Niendorf, Thoralf, Nazaré, Marc, and Waiczies, Sonia

Subjects
MRS, Magnetic Resonance Spectroscopy, Toluidines, Dihydroorotate Dehydrogenase, DHODH, Hydroxybutyrates, Magnetic Resonance Imaging, Article, Cardiovascular and Metabolic Diseases, fluorine, Crotonates, Nitriles, teriflunomide, Animals, Technology Platforms, Function and Dysfunction of the Nervous System, SF5, MRI
Abstract

Fluorine ((19)F) magnetic resonance imaging (MRI) is severely limited by a low signal-to noise ratio (SNR), and tapping it for (19)F drug detection in vivo still poses a significant challenge. However, it bears the potential for label-free theranostic imaging. Recently, we detected the fluorinated dihydroorotate dehydrogenase (DHODH) inhibitor teriflunomide (TF) noninvasively in an animal model of multiple sclerosis (MS) using (19)F MR spectroscopy (MRS). In the present study, we probed distinct modifications to the CF(3) group of TF to improve its SNR. This revealed SF(5) as a superior alternative to the CF(3) group. The value of the SF(5) bioisostere as a (19)F MRI reporter group within a biological or pharmacological context is by far underexplored. Here, we compared the biological and pharmacological activities of different TF derivatives and their (19)F MR properties (chemical shift and relaxation times). The (19)F MR SNR efficiency of three MRI methods revealed that SF(5)-substituted TF has the highest (19)F MR SNR efficiency in combination with an ultrashort echo-time (UTE) MRI method. Chemical modifications did not reduce pharmacological or biological activity as shown in the in vitro dihydroorotate dehydrogenase enzyme and T cell proliferation assays. Instead, SF(5)-substituted TF showed an improved capacity to inhibit T cell proliferation, indicating better anti-inflammatory activity and its suitability as a viable bioisostere in this context. This study proposes SF(5) as a novel superior (19)F MR reporter group for the MS drug teriflunomide.

Published
2021

10. The genetic architecture of the human cerebral cortex

Author

Grasby, Katrina L, Jahanshad, Neda, Shatokhina, Natalia, Mirza-Schreiber, Nazanin, Moreira, Jose C V, Mühleisen, Thomas W, Müller-Myhsok, Bertram, Najt, Pablo, Nakahara, Soichiro, Nho, Kwangsik, Olde Loohuis, Loes M, Orfanos, Dimitri Papadopoulos, Pearson, John F, Zsembik, Leo C P, Pitcher, Toni L, Pütz, Benno, Quidé, Yann, Ragothaman, Anjanibhargavi, Rashid, Faisal M, Reay, William R, Redlich, Ronny, Reinbold, Céline S, Repple, Jonathan, Richard, Geneviève, Thomopoulos, Sophia I, Riedel, Brandalyn C, Risacher, Shannon L, Rocha, Cristiane S, Mota, Nina Roth, Salminen, Lauren, Saremi, Arvin, Saykin, Andrew J, Schlag, Fenja, Schmaal, Lianne, Schofield, Peter R, Zhu, Alyssa H, Secolin, Rodrigo, Shapland, Chin Yang, Shen, Li, Shin, Jean, Shumskaya, Elena, Sønderby, Ida E, Sprooten, Emma, Tansey, Katherine E, Teumer, Alexander, Thalamuthu, Anbupalam, Strike, Lachlan T, Tordesillas-Gutiérrez, Diana, Turner, Jessica A, Uhlmann, Anne, Vallerga, Costanza Ludovica, van der Meer, Dennis, van Donkelaar, Marjolein M J, van Eijk, Liza, van Erp, Theo G M, van Haren, Neeltje E M, van Rooij, Daan, Agartz, Ingrid, van Tol, Marie-José, Veldink, Jan H, Verhoef, Ellen, Walton, Esther, Wang, Mingyuan, Wang, Yunpeng, Wardlaw, Joanna M, Wen, Wei, Westlye, Lars T, Whelan, Christopher D, Alhusaini, Saud, Witt, Stephanie H, Wittfeld, Katharina, Wolf, Christiane, Wolfers, Thomas, Wu, Jing Qin, Yasuda, Clarissa L, Zaremba, Dario, Zhang, Zuo, Zwiers, Marcel P, Artiges, Eric, Almeida, Marcio A A, Assareh, Amelia A, Ayesa-Arriola, Rosa, Belger, Aysenil, Brandt, Christine L, Brown, Gregory G, Cichon, Sven, Curran, Joanne E, Davies, Gareth E, Degenhardt, Franziska, Dennis, Michelle F, Alnæs, Dag, Dietsche, Bruno, Djurovic, Srdjan, Doherty, Colin P, Espiritu, Ryan, Garijo, Daniel, Gil, Yolanda, Gowland, Penny A, Green, Robert C, Häusler, Alexander N, Heindel, Walter, Amlien, Inge K, Ho, Beng-Choon, Hoffmann, Wolfgang U, Holsboer, Florian, Homuth, Georg, Hosten, Norbert, Jack, Clifford R, Jang, MiHyun, Jansen, Andreas, Kimbrel, Nathan A, Kolskår, Knut, Painter, Jodie N, Andersson, Micael, Koops, Sanne, Krug, Axel, Lim, Kelvin O, Luykx, Jurjen J, Mathalon, Daniel H, Mather, Karen A, Mattay, Venkata S, Matthews, Sarah, Mayoral Van Son, Jaqueline, McEwen, Sarah C, Ard, Tyler, Melle, Ingrid, Morris, Derek W, Mueller, Bryon A, Nauck, Matthias, Nordvik, Jan E, Nöthen, Markus M, O'Leary, Daniel S, Opel, Nils, Martinot, Marie-Laure Paillère, Pike, G Bruce, Armstrong, Nicola J, Preda, Adrian, Quinlan, Erin B, Rasser, Paul E, Ratnakar, Varun, Reppermund, Simone, Steen, Vidar M, Tooney, Paul A, Torres, Fábio R, Veltman, Dick J, Voyvodic, James T, Ashley-Koch, Allison, Whelan, Robert, White, Tonya, Yamamori, Hidenaga, Adams, Hieab H H, Bis, Joshua C, Debette, Stephanie, Decarli, Charles, Fornage, Myriam, Gudnason, Vilmundur, Hofer, Edith, Atkins, Joshua R, Ikram, M Arfan, Launer, Lenore, Longstreth, W. T., Lopez, Oscar L, Mazoyer, Bernard, Mosley, Thomas H, Roshchupkin, Gennady V, Satizabal, Claudia L, Schmidt, Reinhold, Seshadri, Sudha, Bernard, Manon, Yang, Qiong, Initiative, Alzheimer’s Disease Neuroimaging, Consortium, CHARGE, Consortium, EPIGEN, Consortium, IMAGEN, Consortium, SYS, Initiative, Parkinson’s Progression Markers, Alvim, Marina K M, Ames, David, Anderson, Tim J, Brouwer, Rachel M, Andreassen, Ole A, Arias-Vasquez, Alejandro, Bastin, Mark E, Baune, Bernhard T, Beckham, Jean C, Blangero, John, Boomsma, Dorret I, Brodaty, Henry, Brunner, Han G, Buckner, Randy L, Buimer, Elizabeth E L, Buitelaar, Jan K, Bustillo, Juan R, Cahn, Wiepke, Cairns, Murray J, Calhoun, Vince, Carr, Vaughan J, Caseras, Xavier, Caspers, Svenja, Cavalleri, Gianpiero L, Cendes, Fernando, Bülow, Robin, Corvin, Aiden, Crespo-Facorro, Benedicto, Dalrymple-Alford, John C, Dannlowski, Udo, de Geus, Eco J C, Deary, Ian J, Delanty, Norman, Depondt, Chantal, Desrivières, Sylvane, Donohoe, Gary, Bürger, Christian, Espeseth, Thomas, Fernández, Guillén, Fisher, Simon E, Flor, Herta, Forstner, Andreas J, Francks, Clyde, Franke, Barbara, Glahn, David C, Gollub, Randy L, Grabe, Hans J, Colodro-Conde, Lucía, Cannon, Dara M, Gruber, Oliver, Håberg, Asta K, Hariri, Ahmad R, Hartman, Catharina A, Hashimoto, Ryota, Heinz, Andreas, Henskens, Frans A, Hillegers, Manon H J, Hoekstra, Pieter J, Holmes, Avram J, Chakravarty, Mallar, Hong, L Elliot, Hopkins, William D, Hulshoff Pol, Hilleke E, Jernigan, Terry L, Jönsson, Erik G, Kahn, René S, Kennedy, Martin A, Kircher, Tilo T J, Kochunov, Peter, Kwok, John B J, Chen, Qiang, Le Hellard, Stephanie, Loughland, Carmel M, Martin, Nicholas G, Martinot, Jean-Luc, McDonald, Colm, McMahon, Katie L, Meyer-Lindenberg, Andreas, Michie, Patricia T, Morey, Rajendra A, Mowry, Bryan, Cheung, Joshua W, Nyberg, Lars, Oosterlaan, Jaap, Ophoff, Roel A, Pantelis, Christos, Paus, Tomas, Pausova, Zdenka, Penninx, Brenda W J H, Polderman, Tinca J C, Posthuma, Danielle, 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Masaki, Knopman, David, Hewitt, David L, Perry, David, Russell, David, Standaert, David, Winkfield, David, Green, Davis Robert C, Fontaine, Deborah, Miller, Delwyn D, Gessert, Devon, Garrett, Melanie E, Kerwin, Diana, Willeke, Diana, Drost, Dick, Papadopoulos, Dimitri, Rowe, Dominic, Simpson, Donna M, Muni, Donna, Galasko, Douglas, Scharre, Douglas W, Fillmer, Ariane, Ge, Tian, Bartha, Rob, Celmins, Dzintra, Zimmerman, Earl A, Teng, Edmond, Tolosa, Eduardo, Coleman, Edward, Zamrini, Edward, Mitsis, Effie, Finger, Elizabeth, Giddaluru, Sudheer, Oates, Elizabeth, Sosa, Elizabeth, Woo, Ellen, Rogalski, Emily, Lethbridge, Emma, Dooley, Eoin, Foster, Eric, Reiman, Eric M, Quinlan, Erin Burke, Goldman, Aaron L, Franklin, Erin, Heinzen, Erin L, Fletcher, Evan, Sprenger, Fabienne, Crivello, Fabrice, Biondo, Francesca, Parfitt, Francine, Hefti, Franz, Beyer, Frauke, Nees, Frauke, Green, Melissa J, Leonard, Gabriel, Robert, Gabriel, Thai, Gaby, Marshall, Gad A, Barker, Gareth, Conrad, Gary, Tremont, Geoffrey, Bartzokis, George, Groenewold, Nynke A, Hsiung, Ging-Yuek Robin, Malferrari, Giulia, Chiang, Gloria, Pearlson, Godfrey D, Liang, Grace, Jicha, Greg, Sorensen, Greg, Todd, Gretchen, Jimenez, Gustavo, Grotegerd, Dominik, Zare, Habil, Grabe, Hans Jörgen, Vanderswag, Helen, Schmidt, Helena, Venkov, Heli, Lemaitre, Hervé, Gurholt, Tiril P, Grossman, Hillel, Shill, Holly, Soares, Holly, Lin, Honghuang, Capote, Horacio, Bergman, Howard, Chertkow, Howard, Feldman, Howard, Fillit, Howard, Rosen, Howard J, Gutman, Boris A, Koleva, Hristina, Fernandez, Hubert, Garavan, Hugh, Shim, Hyungsub, Grachev, Igor D, Richard, Irene, Filippi, Irina, Rachinsky, Irina, Wurster, Isabel, Lind, Penelope A, Hansell, Narelle K, Mintzer, Jacobo, Ziolkowski, Jaimie, Brewer, James, Lah, James J, Leverenz, James, Becker, James T, Tetrud, James, Singleton-Garvin, Jamika, Egebjerg, Jan, Cellar, Janet S, Harris, Mathew A, Pentilla, Jani, Brosch, Jared R, Tinklenberg, Jared, Karlawish, Jason H, Meyer, Javier Villanueva, Himali, Jayandra J, Poline, Jean-Baptiste, Gunter, Jeff, Kaye, Jeffrey A, Harrison, Marc B, Dalley, Jeffrey, Burns, Jeffrey M, Petrella, Jeffrey R, Mule, Jennifer, Salazar, Jennifer, Rotter, Jerome I, Yesavage, Jerome, Cedarbaum, Jesse, Jiang, Jiyang, Haswell, Courtney C, Allard, Joanne, Lord, Joanne L, Hetelle, Joel, Kwok, John B, Brockington, John, Morris, John C, Hsiao, John, Morris, John, Olichney, John, Trojanowki, John Q, Hauser, Michael, Rogers, John, Seibyl, John, Yankey, Jon, Dubow, Jordan S, Jankovic, Joseph, Quinn, Joseph, Kass, Joseph S, Taylor, Joy L, Heidebrink, Judith L, Herms, Stefan, Trollor, Julian, Fröhner, Juliane, Anderson, Karen, Blank, Karen, Crawford, Karen, Smith, Karen Ekstam, Bell, Karen L, Williams, Karen, Kieburtz, Karl, Heslenfeld, Dirk J, Gauss, Katharina, Gloer, Katherine, Johnson, Kathleen, Tingus, Kathleen, DeMarco, Kathryn, Sink, Kaycee M, Hawkins, Keith A, Johnson, Keith A, Kantarci, Kejal, Ho, New Fei, Faber, Kelley, Harless, Kelly, Makino, Kelly M, Marek, Kenneth, Spicer, Kenneth, Shianna, Kevin, Chen, Kewei, Nam, Ki Won, Martin, Kim, Poki-Walker, Kim, Hoehn, David, Seppi, Klaus, Johnson, Kris, Fargher, Kristin, Lipowski, Kristine, Espay, Kristy, Womack, Kyle, Chahine, Lama, Flashman, Laura A, Daedelow, Laura, Hoffmann, Per, Leary, Laura, Beckett, Laurel, Honig, Lawrence S, Thal, Leon, Shaw, Leslie M, Kuller, Lew, Apostolova, Liana, Teodoro, Liberty, Rees, Linda, Pizzagalli, Fabrizio, Holleran, Laurena, Lewis, Lindsay, Hergesheimer, Lindsey, Silbert, Lisa C, Ravdin, Lisa, Taylor-Reinwald, Lisa, Uribe, Liz, Schneider, Lon S, Daiello, Lori A, Richer, Louis, Poustka, Luise, Hoogman, Martine, Pirpamer, Lukas, Mesulam, M Marcel, Ismail, M Saleem, Ranola, Madelaine, Korecka, Magdalena, Raichle, Marc, Seltzer, Marc, van der Brug, Marcel, Hottenga, Jouke-Jan, Mesulam, Marek-Marsel, Carrillo, Maria, Carroll, Maria, Knol, Maria J, Kataki, Maria, Greig-Custo, Maria T, Paillere, Marie-Laure, Albert, Marilyn, Love, Marissa Natelson, Ikeda, Masashi, Mintun, Mark A, Frasier, Mark, Logue, Mark, Minton, Mark, Loeffler, Markus, Scholz, Markus, Baca, Marne, Farlow, Martin R, Sadowski, Martin, Janowitz, Deborah, Creech, Mary L, Hynes, Mary L, Quiceno, Mary, Oakley, MaryAnn, Harris, Mat, Senjem, Matt, Bernstein, Matthew, Panizzon, Matthew S, Stern, Matthew, Becerra, Mauricio, Jansen, Iris E, Witbracht, Megan, Vernooij, Meike W, Brandabur, Melanie, Keltz, Melanie, Lamar, Melissa, Yang, Mia, Ahlijanian, Michael, Borrie, Michael, Neale, Michael C, Donohue, Michael, Jia, Tianye, Lyons, Michael J, Lin, Michael, Rapp, Michael, Smolka, Michael, Weiner, Michael W, Weiner, Michael, Figurski, Michal, Perron, Michel, Assaly, Michele, Luciano, Michelle, Jockwitz, Christiane, Rainka, Michelle, Dang, Mimi, Sheikh, Mohammed O, Ghanbari, Mohsen, Gaikwad, Mrunalini, Chowdhury, Munir, Trncic, Nadira, Amin, Najaf, Johnson, Nancy, Kanai, Ryota, Kowalksi, Nancy, Monahan, Nancy, Gillespie, Nathan A, Pacini, Nathaniel, Buckholtz, Neil, Kowall, Neil, Graff-Radford, Neill R, Fox, Nick, Pavese, Nicola, Karama, Sherif, Cairns, Nigel J, Schuff, Norbert, Foster, Norm, Relkin, Norman, Oyonumo, Ntekim E, Pomara, Nunzio, James, Olga, Ogunlana, Olu, Ching, Christopher R K, Kasperaviciute, Dalia, Carmichael, Owen, Doraiswamy, P Murali, Casalin, Paola, Barone, Paolo, Fatica, Parianne, Conrod, Patricia, Johnson, Patricia Lynn, Samuels, Patricia, Aisen, Paul, Malloy, Paul, Kaufmann, Tobias, Thompson, Paul, Ogrocki, Paula, Bezivin-Frere, Pauline, Maillard, Pauline, Fontoura, Paulo, Taylor, Peggy, Hogarth, Penelope, Gowland, Penny, Davies, Peter, Kelly, Sinead, Hardy, Peter, Snyder, Peter J, Snyder, Peter, Amouyel, Philippe, Muglia, Pierandrea, Tariot, Pierre, Lu, Po H, Varma, Pradeep, Vemuri, Prashanthi, Kikuchi, Masataka, Doody, Rachelle S, Carter, Raina, Shah, Raj C, Griffith, Randall, Yeh, Randy, Duara, Ranjan, Tarawneh, Rawan, James, Raymond, Turner, Raymond Scott, Klein, Marieke, Hernando, Raymundo, Silverstein, Rebecca, Sperling, Reisa A, Wilson, Renee, Carson, Richard E, Frank, Richard, El Khouli, Riham, Koeppe, Robert A, Santulli, Robert B, Knapp, Michael, Hauser, Robert, Umek, Robert, Radtke, Rodney, Killiany, Ronald, Petersen, Ronald, Rodriguez, Rosemarie, Miranda, Ruben, Knodt, Annchen R, Bruehl, Ruediger, Xia, Rui, Swerdlow, Russell H, Ottmann, Ruth, Millenet, Sabina, Borges-Neto, Salvador, Frank, Samuel, Black, Sandra, Weintraub, Sandra, Obradov, Sanja, Krämer, Bernd, Asthana, Sanjay, Vaishnavi, Sanjeev, Dolen, Sara, Mason, Sara S, Hohmann, Sarah, Kremen, Sarah, Miller, Sarah, Walter, Sarah, Herring, Scott, Neu, Scott, Lam, Max, Aydin, Semiha, Ahmad, Shahzad, Harlan, Sherry, Sirrel, Sherye A, Lasch, Shirley, Hu, Shu-Ching, Li, Shuo, Kittur, Smita, Chowdhury, Sohini, Lancaster, Thomas M, Pawluczyk, Sonia, Maingault, Sophie, Schneider, Stacy, Seiler, Stephan, Guthrie, Stephanie, Kielb, Stephanie, Reeder, Stephanie, Correia, Stephen, Pasternak, Stephen, McMahon, Mary Agnes B, Lee, Phil H, Salloway, Stephen, Johnson, Sterling, Williams, Steve, Chao, Steven, Arnold, Steven E, Paul, Steven, Potkin, Steven, Factor, Stewart, Isaacson, Stuart, Lett, Tristram A, Kim, Sungeun, Ainscough, Susan, Schultz, Susan K, Landau, Susan, Mendick, Susan, Rountree, Susan, Ostrowizki, Suzanne, Veillette, Suzanne, van der Lee, Sven J, Desrivieres, Sylvane, Lewis, Lindsay B, Lee, T-Y, Simuni, Tanya, Foroud, Tatiana, Foroud, Tatiana M, Wong, Terence Z, Villena, Teresa, Comery, Thomas, Obisesan, Thomas O, Lopes-Cendes, Iscia, Banaschewski, Tobias, Sherer, Todd, Montine, Tom, Paus, Tomáš, Robbins, Trevor, Bromberg, Uli, Völker, Uwe, Pavlik, Valory, Arnedo, Vanessa, Kiyasova, Vera, Bates, Vernice, Logovinsky, Veronika, Sossi, Vesna, Shibley, Victoria, Frouin, Vincent, Lee, Virginia, Poewe, Werner, Jagust, William, Brooks, William M, Macciardi, Fabio, Pavlosky, William, Potter, William, Kremen, William S, Longstreth, William T, Niessen, Wiro J, Jian, Xueqiu, Stern, Yaakov, Saba, Yasaman, Cabrera, Yuliana, Grimmer, Yvonne, Marquand, Andre F, Khachaturian, Zaven, Mari, Zoltan, Mathias, Samuel R, Melzer, Tracy R, Milaneschi, Yuri, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Movement Disorder (MD), Alzheimer’s Disease Neuroimaging Initiative, CHARGE Consortium, EPIGEN Consortium, IMAGEN Consortium, SYS Consortium, Parkinson’s Progression Markers Initiative, Stochastics, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, Science and Society, Cognitive Psychology, IBBA, APH - Personalized Medicine, Complex Trait Genetics, APH - Methodology, Clinical Neuropsychology, Sociology and Social Gerontology, Amsterdam Neuroscience - Complex Trait Genetics, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, Klinische Genetica, RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA Klinische Genetica (5), Neurology, Psychiatry, Pediatric surgery, Amsterdam Reproduction & Development (AR&D), Human genetics, APH - Digital Health, Psychology, Precision Medicine Institute of Psychiatry, Child and Adolescent Psychiatry / Psychology, Radiology & Nuclear Medicine, Clinical Genetics, Epidemiology, Medical Informatics, Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Neurodegeneratives Diseases Institute (IMN-UMR CNRS 5293), Centre National de la Recherche Scientifique (CNRS), General Paediatrics, ARD - Amsterdam Reproduction and Development, Direction de Recherche Fondamentale (CEA) (DRF (CEA)), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), [SDV]Life Sciences [q-bio], LOCI, Genome-wide association study, Brain mapping, 0302 clinical medicine, Cognition, Cortex (anatomy), ComputingMilieux_MISCELLANEOUS, Cerebral Cortex, 0303 health sciences, Brain Mapping, Multidisciplinary, COMMON VARIANTS, Parkinson Disease, Organ Size, Central sulcus, Magnetic Resonance Imaging, medicine.anatomical_structure, Cerebral cortex, Neuroinformatics, EXPRESSION, endocrine system, central sulcus, SURFACE-AREA, Biology, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Genetic variation, medicine, Attention deficit hyperactivity disorder, Humans, General, Gene, METAANALYSIS, 030304 developmental biology, Progenitor, CORTICAL SULCI, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Genetic variants, Genetic Variation, Attention Deficit Disorder with Hyperactivity, Genetic Loci, Genome-Wide Association Study, functional annotation, medicine.disease, Genetic architecture, 030104 developmental biology, Evolutionary biology, OBSERVER-INDEPENDENT CHARACTERIZATION, Multiple comparisons problem, ddc:320, genome-wide association, Neuroscience, 030217 neurology & neurosurgery
Abstract

Enhancing NeuroImaging Genetics through Meta-Analysis Consortium (ENIGMA)—Genetics working group., The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.

Published
2020

11. Fast iterative pre-emphasis calibration method enabling third-order dynamic shim updated fMRI

Author

Anke Henning, A Fillmer, Klaas P. Pruessmann, Matteo Pavan, S J Vannesjo, Milan Scheidegger, University of Zurich, and Fillmer, Ariane

Subjects
Computer science, Field of view, 610 Medicine & health, 030218 nuclear medicine & medical imaging, law.invention, 170 Ethics, 03 medical and health sciences, Superposition principle, 0302 clinical medicine, Nuclear magnetic resonance, spatio, law, Image Processing, Computer-Assisted, Eddy current, Calibration, Humans, 2741 Radiology, Nuclear Medicine and Imaging, Radiology, Nuclear Medicine and imaging, 10237 Institute of Biomedical Engineering, B0 shimming, resting, dynamic shim updating, pre, eddy current compensation, emphasis calibration, temporal field monitoring, Brain, Signal Processing, Computer-Assisted, Shim (magnetism), Magnetic Resonance Imaging, Field monitoring, Third order, Amplitude, state fMRI, Algorithm, Algorithms, 030217 neurology & neurosurgery
Abstract

PURPOSE: To calibrate a pre-emphasis to sufficiently compensate eddy currents for application of dynamic shim updating to fMRI without extension of scan times. METHODS: Eddy current effects induced into all shim terms up to third-order were characterized by spatiotemporal field monitoring, using a third-order field camera. Pre-emphasis settings were derived from the measurements and iteratively evaluated and refined. The calibrated pre-emphasis was applied to slice-wise dynamic shim updating in combination with a dynamic excitation frequency (F0) determination and a slice-wise B0 optimization routine for in vivo echo planar imaging and resting-state functional MRI. RESULTS: The described method for pre-emphasis calibration led to settling times of remaining eddy current effects below 2 ms, allowing for the application of dynamic shim updating to fMRI without extension of scan times or induction of eddy current related artifacts. A dynamic F0 determination compensates frequency shifts induced by the superposition of different shim fields, and therefore, prevents an image shift within the field of view. Hardware limitations necessitate the reduction of the maximum applicable B0 shim field amplitudes and restrict the shim performance. CONCLUSION: The proposed method enables accurate pre-emphasis calibration, and therefore, the application of dynamic shim updating to fMRI. Magn Reson Med, 2015. © 2015 Wiley Periodicals, Inc.

Published
2016

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