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A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

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Robot-assisted needle placement in open MRI: system architecture, integration and validation.

S P DiMaio¹, S Pieper, K Chinzei

¹Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. simond@bwh.harvard.edu

Computer Aided Surgery : Official Journal of the International Society for Computer Aided Surgery

|March 17, 2007

Summary

This study presents a robotic system for MRI-guided prostate cancer interventions, enabling precise needle placement for biopsy and therapy. The integrated system enhances targeted treatment accuracy and patient outcomes.

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Area of Science:

Medical Imaging
Robotics
Oncology

Background:

Prostate cancer treatment increasingly requires targeted interventions.
Precise needle placement for biopsy and therapy necessitates advanced image-guided methods.
Traditional methods have limitations in accuracy and flexibility.

Purpose of the Study:

To describe an integrated system for robotic-assisted, MRI-guided percutaneous procedures.
To enable precise needle trajectory planning and execution.
To overcome limitations of conventional fixed needle templates.

Main Methods:

Development of a graphical planning interface for specifying needle trajectories.
Utilizing registered pre-operative and intra-procedural MR images for planning.
Employing an MRI-compatible robotic manipulator for accurate needle guide positioning.
Automatic alignment of real-time intra-operative MR images for needle visualization.

Main Results:

Successful planning and execution of percutaneous procedures with robotic assistance under MRI guidance.
Demonstrated accurate positioning of needle guides based on computed image-space coordinates.
Phantom experiments confirmed the system's feasibility and performance.
Enhanced visualization of needle insertion through automatic alignment of intra-operative images.

Conclusions:

The described integrated system offers a precise and flexible solution for MRI-guided percutaneous interventions.
Robotic assistance and advanced imaging integration improve needle placement accuracy in prostate cancer treatment.
This technology has the potential to enhance targeted biopsy and therapy delivery.