PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 17, 2025Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition0 citations

Imaging at 400 mT/m with next-generation gradient driver technology on a high-performance gradient platform.

View Full Paper
NANastaren AbadEFEric FivelandJHJohn Hotaling

Key Points

  • High-resolution imaging achieved with diffusion MRI at ultra-high b-values of 30,000 s/mm².
  • Gradient driver technology shows high command waveform fidelity and sensitivity for slow-flow characterization.
  • Investigation integrates SiC advanced gradient driver without redesigning the gradient coil.
  • New methods emphasize capturing elusive contrasts in neuro-fluids at mesoscale levels.

Abstract

Motivation: To push the technology envelope in advanced brain structural and functional imaging by increasing the performance of an investigational MAGNUS platform to ≥400 mT/m with a 3-MVA SiC gradient driver. Goal(s): To demonstrate the technical feasibility of improving gradient performance using advanced SiC semiconductor MOSFET gradient driver architecture, without any gradient coil redesign. Approach: Integrate the high efficiency head only MAGNUS gradient with next generation SiC advanced gradient driver topology and evaluate technical performance. Results: Demonstration of high command waveform fidelity, quality assurance phantom testing and in-vivo human scanning with diffusion MRI at high resolution (0.8-mm) and ultra-high b-values (30,000 s/mm2) with TE(s)<50ms. Impact: Cumulative gains from gradient coil design and gradient driver topology enable imaging of the mesoscale, with increased sensitivity in estimation of elusive contrasts such as slow-flow characterization of neuro-fluids, effective intra-axonal radii, and time-dependent diffusivities.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Abad et al. (2025) studied this question.

synapsesocial.com/papers/68d4597b31b076d99fa5ca1chttps://doi.org/10.58530/2025/1336
Ask AI
Helpful
Bookmark
Share
View Full Paper