Estimating Accurate Target Coordinates with Magnetic Resonance Images by Using Multiple Phase-Encoding Directions during Acquisition

Minsoo Kim, Na Young Jung, Chang Kyu Park, Won Seok Chang, Hyun Ho Jung, Jin Woo Chang

Research output: Contribution to journalArticlepeer-review


Background: Stereotactic procedures are image guided, often using magnetic resonance (MR) images limited by image distortion, which may influence targets for stereotactic procedures. Objectives: The aim of this work was to assess methods of identifying target coordinates for stereotactic procedures with MR in multiple phase-encoding directions. Methods: In 30 patients undergoing deep brain stimulation, we acquired 5 image sets: stereotactic brain computed tomography (CT), T2-weighted images (T2WI), and T1WI in both right-to-left (RL) and anterior-to-posterior (AP) phase-encoding directions. Using CT coordinates as a reference, we analyzed anterior commissure and posterior commissure coordinates to identify any distortion relating to phase-encoding direction. Results: Compared with CT coordinates, RL-directed images had more positive x-axis values (0.51 mm in T1WI, 0.58 mm in T2WI). AP-directed images had more negative y-axis values (0.44 mm in T1WI, 0.59 mm in T2WI). We adopted 2 methods to predict CT coordinates with MR image sets: parallel translation and selective choice of axes according to phase-encoding direction. Both were equally effective at predicting CT coordinates using only MR; however, the latter may be easier to use in clinical settings. Conclusion: Acquiring MR in multiple phase-encoding directions and selecting axes according to the phase-encoding direction allows identification of more accurate coordinates for stereotactic procedures.

Original languageEnglish
Pages (from-to)113-119
Number of pages7
JournalStereotactic and functional neurosurgery
Issue number2
Publication statusPublished - 2018 Jun 1

Bibliographical note

Publisher Copyright:
© 2018 S. Karger AG, Basel. Copyright: All rights reserved.

All Science Journal Classification (ASJC) codes

  • Surgery
  • Clinical Neurology


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