Use of dielectric padding to eliminate low convective field artifact in cr-MREPT conductivity images

Magn Reson Med. 2019 May;81(5):3168-3184. doi: 10.1002/mrm.27648. Epub 2019 Jan 29.

Abstract

Purpose: Convection-reaction equation-based magnetic resonance electrical properties tomography (cr-MREPT) provides conductivity images that are boundary artifact-free and robust against noise. However, these images suffer from the low convective field (LCF) artifact. We propose to use dielectric pads to alter the transmit magnetic field (B1 + ), shift the LCF region, and eliminate the LCF artifact.

Methods: Computer simulations were conducted to analyze the effects of pad electrical properties, pad thickness, pad height, arc angle, and thickness of the pad-object gap. In 3T MR experiments, water pads and BaTiO3 pads were used with agar-saline phantoms. Two data sets (e.g., with the pad located on the left or on the right of the object [phantom]) were acquired, and the corresponding linear systems were simultaneously solved to get LCF artifact-free conductivity images.

Results: A pad needed to have 180° arc angle and the same height with the phantom for maximum benefit. Increasing the pad thickness and/or the relative permittivity of the pad increased the LCF shift, whereas excessive amounts of these parameters caused errors in conductivity reconstructions because the effect of neglected Bz terms became noticeable. Conductivity of the pad, on the other hand, had minimal effect on elimination of the LCF artifact. Combining 2 data sets (i.e., with 2 different dielectric pad positions) resulted in more accurate conductivity maps (low L2 -errors) as opposed to no pad or single pad cases in experiments and simulations.

Conclusions: Using the proposed technique, LCF artifact is significantly removed, and the reconstructed conductivity values are improved.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Agar / chemistry
  • Algorithms
  • Artifacts*
  • Computer Simulation
  • Electric Conductivity*
  • Electric Impedance
  • Equipment Design
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Linear Models
  • Magnetic Fields
  • Magnetic Resonance Imaging*
  • Phantoms, Imaging
  • Signal-To-Noise Ratio
  • Tomography*

Substances

  • Agar