Stereotactic Systems for MRI-Guided Neurosurgeries: A State-of-the-Art Review

Yue Chen, Isuru Godage, Hao Su, Aiguo Song, Hong Yu

Research output: Contribution to journalReview articlepeer-review

Abstract

Recent technological developments in magnetic resonance imaging (MRI) and stereotactic techniques have significantly improved surgical outcomes. Despite the advantages offered by the conventional MRI-guided stereotactic neurosurgery, the robotic-assisted stereotactic approach has potential to further improve the safety and accuracy of neurosurgeries. This review aims to provide an update on the potential and continued growth of the MRI-guided stereotactic neurosurgical techniques by describing the state of the art in MR conditional stereotactic devices including manual and robotic-assisted. The paper also presents a detailed overview of MRI-guided stereotactic devices, MR conditional actuators and encoders used in MR conditional robotic-assisted stereotactic devices. The review concludes with several research challenges and future perspectives, including actuator and sensor technique, MR image guidance, and robot design issues.

Original languageEnglish (US)
Pages (from-to)335-353
Number of pages19
JournalAnnals of Biomedical Engineering
Volume47
Issue number2
DOIs
StatePublished - Feb 15 2019

Keywords

  • Image-guided therapy
  • MR conditional
  • Medical robot
  • Stereotactic neurosurgery

ASJC Scopus subject areas

  • Biomedical Engineering

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