Minimal artifact actively shimmed metallic needles in MRI

Magn Reson Med. 2022 Jan;87(1):541-550. doi: 10.1002/mrm.28977. Epub 2021 Aug 19.

Abstract

Purpose: Signal voids caused by metallic needles pose visualization and monitoring challenges in many MRI applications. In this work, we explore a solution to this problem in the form of an active shim insert that fits inside a needle and corrects the field disturbance (ΔB0 ) caused by the needle outside of it.

Methods: The ΔB0 induced by a 4 mm outside-diameter titanium needle at 3T is modeled and a two-coil orthogonal shim set is designed and fabricated to shim the ΔB0 . Signal recovery around the needle is assessed in multiple orientations in a water phantom with four different pulse sequences. Phase stability around the needle is assessed in an ex-vivo porcine tissue dynamic gradient echo experiment with and without shimming. Additionally, heating of the shim insert is assessed under 8 min of continuous operation with 1A current and concurrent imaging.

Results: An average recovery of ~63% of lost signal around the needle across orientations is shown with active shimming with a maximum current of 1.172 A. Signal recovery and correction of the underlying ΔB0 is shown to be independent of imaging sequence. Needle-induced phase gradients outside the perceptible signal void are also minimized with active shimming. Temperature rise of up to 0.9° Celsius is noted over 8 min of continuous 1A active shimming operation.

Conclusion: A sequence independent method for minimization of metallic needle induced signal loss using an active shim insert is presented. The method has potential benefits in a range of qualitative and quantitative interventional MRI applications.

Keywords: active shimming; field inhomogeneity; interventional MRI; metallic needles; shim coils.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Animals
  • Artifacts*
  • Brain
  • Image Processing, Computer-Assisted
  • Magnetic Resonance Imaging
  • Needles*
  • Phantoms, Imaging
  • Swine