Difference between revisions of "MRI-Guided Robot-assisted Deep Brain Stimulation Electrode PLacement"

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Direct MR image guidance during deep brain stimulation (DBS) insertion offers many benefits; most significantly, interventional MRI can be used for planning, monitoring of tissue deformation, real-time visualization of insertion, and confirmation of placement. The accuracy of standard stereotactic insertion is limited by registration errors and brain movement during surgery. With real-time acquisition of high-resolution MR images during insertion, probe placement can be confirmed intra-operatively. Direct MR guidance has not taken hold because it is often confounded by a number of issues including: MR-compatibility of existing stereotactic surgery equipment and patient access in the scanner bore. The high resolution images required for neurosurgical planning and guidance require high-field MR (1.5-3T); thus, any system must be capable of working within the constraints of a closed, long-bore diagnostic magnet. Currently, no technological solution exists to assist MRI guided neurosurgical interventions in an accurate, simple, and economical manner.
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__NOTOC__
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<gallery>
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Image:PW2009-v3.png|[[2009_Summer_Project_Week#Projects|Project Week Main Page]]
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Image:MRNeuroRobot.jpg|Prototype Robot
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Image:OpenIGTLink_Diagram_JHURobot.png|System Architecture based on CISST, Slicer and OpenIGTLInk
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</gallery>
  
The objective of our research is to make conventional diagnostic closed high-field MRI scanners available for guiding deep brain stimulation electrode placement interventions.
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==Key Investigators==
Our approach is to employ an MRI-compatible robotic assistant for guiding DBS electrode insertion under direct, real-time MR image guidance. The system will allow interactive probe alignment under real-time imaging in standard diagnostic high-field MR scanners. Use of a robotic assistant will minimize the potential for human error and mis-registration associated with the current procedure and will better address the practical issues of operating in an MR scanner bore.
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* WPI: Gregory Fischer  [mailto:gfischer@wpi.edu gfischer@wpi.edu]
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* UMass Med.: Julie Pilitsis, Mitch Albert
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* Kitware: Michel Audette
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==Collaborators==
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* JHU: Peter Kazanzides, Anton Deguet
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* BWH: Junichi Tokuda, Noby Hata
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* Kitware: Stephen Aylward, Andinet Enquobahrie
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==Students==
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* WPI: Greg Cole (Robot, Motor Control), Hao Su (Haptics, Sensors), Yi Wang (Controller, Pneumatics), Kevin Harrington (Controller Software and Interface)
  
[[Image:NeuroBot.jpg|400px]]
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=== Project Overview===
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The objective of our research is to make conventional diagnostic closed high-field MRI scanners available for guiding deep brain stimulation electrode placement interventions. Our approach is to employ an MRI-compatible robotic assistant for guiding DBS electrode insertion under direct, real-time MR image guidance. The system will allow interactive probe alignment under real-time imaging in standard diagnostic high-field MR scanners. Use of a robotic assistant will minimize the potential for human error and mis-registration associated with the current procedure and will better address the practical issues of operating in an MR scanner bore.  
  
==Key Investigators==
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=== Project Week Plan ===
* WPI: Gregory Fischer
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* UMass: Julie Pilitsis
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<div style="margin: 20px;">
* JHU: Peter Kazanzides
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<div style="width: 27%; float: left; padding-right: 3%;">
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<h3>Objective</h3>
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* Robot control from Slicer
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* Neuro navigation
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* Electrode tracking in MRI
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* Localization and tracking of brain anatomy (STN)
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</div>
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<div style="width: 27%; float: left; padding-right: 3%;">
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<h3>Approach, Plan</h3>
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* Open to new collaborations to solve the listed objectives
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</div>
  
==Participants==
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<div style="width: 40%; float: left;">
* WPI: Greg Fischer
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<h3>Progress</h3>
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* Prototype robot assembled
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* Modular MR robot controller ready
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* Robot controller architecture using CISST functional
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* Communication w/ OpenIGTLink functional
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</div>
  
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</div>
  
=== References ===
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==References==
#Wang Y, Cole GA, Su H, Pilitis JG, Fischer GS, MRI Compatibility Evaluation of a Piezoelectric Actuator System for a Neural Interventional Robot, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society - EMBC 2009, Minneapolis, Minnesota, September 2009 (accepted).
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*Wang Y, Cole GA, Su H, Pilitis JG, Fischer GS, MRI Compatibility Evaluation of a Piezoelectric Actuator System for a Neural Interventional Robot, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society - EMBC 2009, Minneapolis, Minnesota, September 2009 (accepted).
#Cole G, Pilitsis J, Fischer GS, Design of a Robotic System for MRI-Guided Deep Brain Stimulation Electrode Placement, International Conference on Robotics and Automation - ICRA 2009, Kobe, Japan, May 2009.
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*Cole G, Pilitsis J, Fischer GS, Design of a Robotic System for MRI-Guided Deep Brain Stimulation Electrode Placement, International Conference on Robotics and Automation - ICRA 2009, Kobe, Japan, May 2009.
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*Wang Y, Shazeeb MS, Sotak CH, Fischer GS, Optimization of Piezoelectric Motors to Enhance MR Compatiblity for Interventional Devices, 17th Scientific Meeting and Exhibition of the International Society of Magnetic Resonance in Medicine - ISMRM 2009, April 2009.

Latest revision as of 19:10, 22 June 2009

Home < MRI-Guided Robot-assisted Deep Brain Stimulation Electrode PLacement

Key Investigators

  • WPI: Gregory Fischer gfischer@wpi.edu
  • UMass Med.: Julie Pilitsis, Mitch Albert
  • Kitware: Michel Audette

Collaborators

  • JHU: Peter Kazanzides, Anton Deguet
  • BWH: Junichi Tokuda, Noby Hata
  • Kitware: Stephen Aylward, Andinet Enquobahrie

Students

  • WPI: Greg Cole (Robot, Motor Control), Hao Su (Haptics, Sensors), Yi Wang (Controller, Pneumatics), Kevin Harrington (Controller Software and Interface)

Project Overview

The objective of our research is to make conventional diagnostic closed high-field MRI scanners available for guiding deep brain stimulation electrode placement interventions. Our approach is to employ an MRI-compatible robotic assistant for guiding DBS electrode insertion under direct, real-time MR image guidance. The system will allow interactive probe alignment under real-time imaging in standard diagnostic high-field MR scanners. Use of a robotic assistant will minimize the potential for human error and mis-registration associated with the current procedure and will better address the practical issues of operating in an MR scanner bore.

Project Week Plan

Objective

  • Robot control from Slicer
  • Neuro navigation
  • Electrode tracking in MRI
  • Localization and tracking of brain anatomy (STN)

Approach, Plan

  • Open to new collaborations to solve the listed objectives

Progress

  • Prototype robot assembled
  • Modular MR robot controller ready
  • Robot controller architecture using CISST functional
  • Communication w/ OpenIGTLink functional

References

  • Wang Y, Cole GA, Su H, Pilitis JG, Fischer GS, MRI Compatibility Evaluation of a Piezoelectric Actuator System for a Neural Interventional Robot, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society - EMBC 2009, Minneapolis, Minnesota, September 2009 (accepted).
  • Cole G, Pilitsis J, Fischer GS, Design of a Robotic System for MRI-Guided Deep Brain Stimulation Electrode Placement, International Conference on Robotics and Automation - ICRA 2009, Kobe, Japan, May 2009.
  • Wang Y, Shazeeb MS, Sotak CH, Fischer GS, Optimization of Piezoelectric Motors to Enhance MR Compatiblity for Interventional Devices, 17th Scientific Meeting and Exhibition of the International Society of Magnetic Resonance in Medicine - ISMRM 2009, April 2009.