Optimization of MRI Gradient Coils With Explicit Peripheral Nerve Stimulation Constraints.

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.

journal_name

IEEE Trans Med Imaging

authors

Davids M,Guerin B,Klein V,Wald LL

doi

10.1109/TMI.2020.3023329

subject

Has Abstract

pub_date

2021-01-01 00:00:00

pages

129-142

issue

1

eissn

0278-0062

issn

1558-254X

journal_volume

40

pub_type

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