High-resolution small field-of-view magnetic resonance image acquisition system using a small planar coil and a

Kohei Miki1, Ken Masamune2

  • 1Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan. k_miki@atre.t.u-tokyo.ac.jp.

Abstract

Insights

A novel radiofrequency (RF) coil system significantly enhances magnetic resonance imaging (MRI) resolution for neurosurgery. This advancement improves visualization of brain tumors, aiding precise surgical removal.

Area of Science:

  • Medical Imaging
  • Neurosurgery
  • Biomedical Engineering

Background:

  • Low-field open MRI is crucial for image-guided neurosurgery, but suffers from low resolution, hindering precise tumor boundary identification.
  • Current limitations in magnetic resonance (MR) image resolution impede accurate visualization of brain tumors and normal tissues.

Purpose of the Study:

  • To develop and test a high-resolution MR image acquisition system to overcome the resolution limitations of low-field open MRI scanners.
  • To improve the precision of image-guided neurosurgery by enhancing the clarity of tumor visualization.

Main Methods:

  • An MR-compatible manipulator with a 5-degree-of-freedom pneumatic actuator controlled a small radiofrequency (RF) coil.
  • An 8-mm planar RF coil was integrated with an MR signal receiver at the probe's distal end.
  • MR images were acquired using the developed system and a standard head coil for comparison.

Main Results:

  • The MR signal receiver achieved an 8.0-fold increase in signal-to-noise ratio (SNR) compared to the standard head coil.
  • High-resolution local MR images of a 2-mm grid phantom were acquired by maneuvering the RF coil.
  • A wide field-of-view MR image was successfully generated by mosaicking local images.

Conclusions:

  • Integration of a small field-of-view RF system with a pneumatic manipulator in low-field MRI enables acquisition of both wide field-of-view and high-resolution images.
  • This system shows promise for image-guided neurosurgery, offering clearer observation and more precise removal of brain tumors.