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

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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.

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Acknowledgments

Yue Chen acknowledge Eric Barth and Robert Webster for their comments that greatly improved the manuscript. Yue Chen also thank Sang-Eun ‘Sam’ Song for the suggestions on MRI terminology.

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Authors and Affiliations

  1. Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR, USA

    Yue Chen

  2. School of Computing, DePaul University, Chicago, IL, USA

    Isuru Godage

  3. Department of Mechanical Engineering, City College of New York, New York, NY, USA

    Hao Su

  4. School of Instrument Science and Engineering, Southeast University, Nanjing, People’s Republic of China

    Aiguo Song

  5. Department of Neurological Surgery, Vanderbilt University, Nashville, TN, USA

    Hong Yu

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  1. Yue Chen
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Correspondence to Yue Chen.

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Associate Editor Daniel Elson oversaw the review of this article.

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Chen, Y., Godage, I., Su, H. et al. Stereotactic Systems for MRI-Guided Neurosurgeries: A State-of-the-Art Review. Ann Biomed Eng 47, 335–353 (2019). https://doi.org/10.1007/s10439-018-02158-0

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