ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Digital Poster

Gradients & Their Behavior

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Gradients & Their Behavior
Digital Poster
Physics & Engineering
Wednesday, 14 May 2025
Exhibition Hall
08:15 -  09:15
Session Number: D-190
No CME/CE Credit

 
Computer Number: 97
3280. Eddy Current Compensation for Z-Gradient Array Coils with Constraints on Copper and Cryostat Losses: An Electromagnetic Approach
M. Takrimi, E. Atalar
Bilkent University, Ankara, Turkey
Impact: Our approach enables regulation of time-average eddy and copper losses and compensate for secondary fields in gradient array coils, enhancing imaging fidelity while allowing dynamic tuning of magnetic profiles, thereby advancing the performance of modern MRI systems.
 
Computer Number: 98
3281. On the source of unresolved Nyquist ghosting in EPI at high and ultrahigh field
H. Scholten, I. Homolya, H. Köstler
University Hospital Würzburg, Würzburg, Germany
Impact:

Residual Nyquist ghosting in EPI at 7T can be reduced by avoiding or correcting for mechanical oscillations of the gradient coils. A deepened understanding of this effect allows for more reliable correction strategies and less confounded functional or diffusion-weighted MRI.

 
Computer Number: 99
3282. Eddy current measuring device for gradient correction with shielded‐coaxial‐cable coils
Q. Liu, X. Song, K. Yuan, C. Liu, Y. Gao, L. Chen, B. Qiu
University of Science and Technology of China, Hefei, Anhui, China
Impact:

By precisely quantifying the magnitude and distribution of eddy currents, MRI system engineers and researchers can develop effective correction algorithms that mitigate their impact on image quality. A dedicated eddy current measurement device  necessitates a high-isolation to acquire MR signals.

 
Computer Number: 100
3283. Acoustic Spectrum and Ghosting in EPI: Timing is Everything (and it is Not Just Echo Spacing)
A. Seginer, R. Schmidt
Weizmann Institute of Science, Rehovot, Israel
Impact: Subtle control of slice timing and echo-times can reduce EPI-ghosting artifacts. Furthermore, proper modeling of acoustic modes, should allow replacing the current restrictive forbidden echo-spacings logic in sequences with a less restrictive vibration power-prediction.
 
Computer Number: 101
3284. Scalable Gradient Array Power Amplifier Design Using Digital Current Feedback
E. Aydın, M. E. Öztürk, M. Takrimi, E. Atalar
Bilkent University, Ankara, Turkey
Impact: Although the benefits of gradient arrays over conventional systems have been largely theoretical, our scalable, high-performance gradient array controller makes it possible to drive a large number of channels at a fraction of the cost.
 
Computer Number: 102
3285. Safer Non-Cartesian Gradients for Your Subject and Scanner
J. Yang, J-F Nielsen, Y. Jiang
University of Michigan, Ann Arbor, United States
Impact: Our simulation results demonstrated that our proposed method can constrain the PNS limits and requested energy in frequencies bands. We also showed the potential of design safer non-Cartesian trajectories for rapid imaging.
 
Computer Number: 103
3286. Enhanced gradient capabilities at 7T using a three-axes plug-and-play head gradient insert.
G. Arends, C. Tax, C. van Leeuwen, M. Wienke, W. Schuth, T. Roos, J. Siero, D. Klomp, E. Versteeg
UMC Utrecht, Utrecht, Netherlands
Impact: Plug-and-play gradients provide a cost-effective alternative to expensive MRI systems with dedicated high-performance gradients. They improve accessibility for researchers with limited resources to conduct advanced diffusion, structural, and functional MRI experiments.
 
Computer Number: 104
3287. GIRF Characterization of Three Preclinical High-Performance Gradient Systems at 9.4T
O. Goedicke, A. Jaffray, A. Yung, M. E. Ladd, T. A. Kuder, A. Rauscher, S. A. Reinsberg
German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany
Impact: We measure and compare the impulse response of different high-performance gradient systems at 9.4T. This marks the first step towards assessing and correcting for the imperfections and resulting artifacts of such hardware.
 
Computer Number: 105
3288. Computational Study of the Effect of Orthopedic Plates on Gradient Field-Induced Peripheral Nerve Stimulation in MRI
L. Yang, X. Yang, H. Ye, N. Kaula, J. Zheng, J. Chen
University of Houston, Houston, United States
Impact: The observed reduction in PNS thresholds suggests that individualized risk assessments may be necessary for MRI screenings of patients with orthopedic implants.
 
Computer Number: 106
3289. An Integrated Unipolar Ultrasonic Gradient for Mitigating PNS and aliasing in accelerated silent MRI
K. Meng, M. McGrory, D. Klomp, J. Siero, E. van Riel, E. Versteeg
University Medical Center Utrecht, Utrecht, Netherlands
Impact: The presented ultrasonic unipolar gradient coil is designed to be plug-and-play and fit in an existing RF-transmit coil, ensuring ease-of-use while achieving a gradient-efficiency of 0.25 mT/m/A. The boost in gradient-performance can be used to yield fast and quiet scans.
 
Computer Number: 107
3290. Open Source Gradient Systems using a single carrier for the OSI2 MRI Scanner
S. Littin, F. Jia, M. Häuer, J. Pfitzer, B. Wilhelm-Feldbusch, M. Prier, P. Amrein, L. Keppeler, M. Zaitsev
University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
Impact: We enable others to replicate and easily adapt MRI gradient coil designs. This includes all post-processing steps which allows to altered the designs to specific requirements.
 
Computer Number: 108
3291. Reassessment of Peripheral Nerve Stimulation thresholds for the Impulse model-optimized asymmetric head gradient coil
D. Feinberg, S. Ma, E. Walker, A. Beckett, D. Rattenbacher, E. Rummert, P. Dietz, M. Davids, N. Boulant
University of California, Berkeley, Berkeley, United States
Impact: As we explore unprecedented gradient performance at 7T, new observations of Impulse gradient PNS thresholds are reported to avoid unnecessary subject discomfort, demonstrate variables affecting gradient coil PNS testing, and offer opportunity to improve gradient coil modeling of PNS.
 
Computer Number: 109
3292. Sequence noise and vibration optimization based on frequency response function
T. Jiang, J. Wang, L. Wen, Z. Shuai, Z. Zhou, P. Hu
ShanghaiTech University, shanghai, China
Impact: This method has potential to minimize the gradient induced noise and vibration within the allowable adjustment range of parameters. Together with the hardware optimization in the main frequency band of the sequence vibration, it can potentially improve subject comfort significantly.
 
Computer Number: 110
3293. A stitching method for dynamic field monitoring using NMR probes: validation in simulation and human experiments
J. Zhang, Z. Zuo, R. Xue, Y. Zhuo, C. Cushing, A. Bratch, E. Auerbach, A. Grant, J. An, K. Ugurbil, X. Wu, Z. Zhang
State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
Impact: Validated with both simulation and real data experiments, our proposed stitching method capable of characterizing challenging imaging gradients using commercially available hardware is believed to have a promise to advance many ultrahigh resolution MRI applications at ultrahigh field.
 
Computer Number: 111
3294. Rapid Acquisition of the Gradient Impulse Response Function using a Cryo-coil at 9.4 T
A. Jaffray, A. Yung, O. Goedlicke, S. Reinsberg, A. Rauscher
University of British Columbia, Vancouver, Canada
Impact: Pre-clinical MR imaging systems often use application-specific hardware configurations which may influence mechanical resonances and system performance. A rapid GIRF acquisition protocol will streamline frequent system characterization. Rapid GIRF acquisition may enable new strategies for probing gradient system linearity.
 
Computer Number: 112
3295. Improved Image Reconstruction and Diffusion Parameter Estimation Using a Temporal Convolutional Network Model of Gradient Distortions
J. Martin, H. Alderson, J. Gore, M. Does, K. Harkins
Vanderbilt University Institute of Imaging Science, Nashville, United States
Impact: Nonlinear gradient errors do dramatically impact image quality but may be remediated with an accurate nonlinear model. Having a more accurate model of gradient distortions may allow for greater flexibility in the gradient waveforms used in MRI.
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