ArticleIEEE transactions on medical imaging2021
Optimization of MRI Gradient Coils With Explicit Peripheral Nerve Stimulation Constraints.
Article in IEEE transactions on medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Electric field calculation and peripheral nerve stimulation prediction for head and body gradient coils.Magnetic resonance in medicine · 2021Pooled it
- Simulation of dB/dt-Over-Electric Field Cardiac Magnetostimulation Safety Ratios in 75 Body Models and 18 Gradient Systems.Magnetic resonance in medicine · 2026Article
- Ultra-high gradient connectomics and microstructure MRI scanner for imaging of human brain circuits across scales.Nature biomedical engineering · 2026Article
- Electroacupuncture in glycemic control: Transitioning from clinical controversies to potential basic research.World journal of diabetes · 2025Review
- Reassessment of peripheral nerve stimulation thresholds for the Impulse model-optimized asymmetric head gradient coil.Magnetic resonance in medicine · 2025Article
- Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025Review
- Measurement of Peripheral Nerve Magnetostimulation Thresholds of a Head Solenoid Coil Between 200 Hz and 88.1 kHz.IEEE journal of translational engineering in health and medicine · 2025Article
- Experimental validation of a PNS-optimized whole-body gradient coil.Magnetic resonance in medicine · 2024Article
- Influence of peripheral axon geometry and local anatomy on magnetostimulation chronaxie.Journal of neural engineering · 2024Article
- Eddy current-induced artifact correction in high b-value ex vivo human brain diffusion MRI with dynamic field monitoring.Magnetic resonance in medicine · 2024Article
- Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla.Nature methods · 2023Article
- Measurement of magnetostimulation thresholds in the porcine heart.Magnetic resonance in medicine · 2022Article
- Novel Numerical Basis Sets for Electromagnetic Field Expansion in Arbitrary Inhomogeneous Objects.IEEE transactions on antennas and propagation · 2022Article
- A New Phased-Array Magnetic Resonance Imaging Receive-Only Coil for HBO2 Studies.Sensors (Basel, Switzerland) · 2022Article
- Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact.NeuroImage · 2022Review
- A silent gradient axis for soundless spatial encoding to enable fast and quiet brain imaging.Magnetic resonance in medicine · 2022Article
- A Huygens' surface approach to rapid characterization of peripheral nerve stimulation.Magnetic resonance in medicine · 2022Article
- Review
- MRI with ultrahigh field strength and high-performance gradients: challenges and opportunities for clinical neuroimaging at 7 T and beyond.European radiology experimental · 2021Review
- Rapid computation of TMS-induced E-fields using a dipole-based magnetic stimulation profile approach.NeuroImage · 2021Article
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Authors and funding
4 authors.
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Abstract
Peripheral Nerve Stimulation (PNS) limits the acquisition rate of Magnetic Resonance Imaging data for fast sequences employing powerful gradient systems. The PNS characteristics are currently assessed after the coil design phase in experimental stimulation studies using constructed coil prototypes. This makes it difficult to find design modifications that can reduce PNS. Here, we demonstrate a direct approach for incorporation of PNS effects into the coil optimization process. Knowledge about the interactions between the applied magnetic fields and peripheral nerves allows the optimizer to identify coil solutions that minimize PNS while satisfying the traditional engineering constraints. We compare the simulated thresholds of PNS-optimized body and head gradients to conventional designs, and find an up to 2-fold reduction in PNS propensity with moderate penalties in coil inductance and field linearity, potentially doubling the image encoding performance that can be safely used in humans. The same framework may be useful in designing and operating magneto- and electro-stimulation devices.
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