Related Experiment Video
Updated: Jun 14, 2025
11:40
Building An Open-source Robotic Stereotaxic Instrument
Published on: October 29, 2013
14.9K
Automatic Path-Planning Techniques for Minimally Invasive Stereotactic Neurosurgical Procedures-A Systematic Review
Reza Monfaredi1,2, Alondra Concepcion-Gonzalez3, Jose Acosta Julbe4
1Sheikh Zayed Institute of Pediatrics Surgical Innovation, Children's National Hospital, Washington, DC 20010, USA.
Sensors (Basel, Switzerland)
|August 29, 2024
Summary
This review explores path-planning algorithms for stereotactic neurosurgery, analyzing tools like needles and robots. It highlights current research and identifies gaps for advancing safer minimally invasive neurosurgical procedures.
Area of Science:
- Neurosurgery
- Robotics
- Medical Imaging
Background:
- Stereotactic neurosurgery demands precise instrument navigation.
- Path-planning algorithms are crucial for minimally invasive procedures.
- Recent advancements focus on diverse robotic and needle-based tools.
Purpose of the Study:
- To systematically review path-planning algorithms for stereotactic neurosurgery over the past decade.
- To analyze algorithms for straight needles, steerable needles, and concentric tube robots.
- To identify research gaps and future trends in neurosurgical path planning.
Main Methods:
- Comprehensive literature search across major scientific databases (Google Scholar, PubMed, IEEE Xplore, Scopus).
- Rigorous inclusion/exclusion criteria applied by a multidisciplinary expert team.
- Detailed review and synthesis of findings from selected scholarly papers.
Main Results:
- Analysis of path-planning algorithms for single and multi-target scenarios (multi-target only for straight tools).
- Discussion of imaging modalities and critical anatomical structures in path planning.
- Assessment of research translation to clinical human studies.
Conclusions:
- This is the first review in a decade covering diverse path-planning techniques for various tools in minimally invasive neurosurgery.
- Identified technology gaps and future research directions are outlined.
- The review aims to guide future development for safer and more effective neurosurgical procedures.
