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Related Experiment Video

Updated: Jun 25, 2026

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
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Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

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Accuracy evaluation of microTargeting Platforms for deep-brain stimulation using virtual targets.

Ramya Balachandran1, Jason E Mitchell, Benoit M Dawant

  • 1Department of Otolaryngology, Vanderbilt University Medical Center, Nashville TN 37232, USA. ramya.balachandran@vanderbilt.edu

IEEE Transactions on Bio-Medical Engineering
|February 20, 2009
PubMed
Summary

The microTargeting Platform offers submillimetric accuracy for deep-brain-stimulation (DBS) surgery, replacing traditional frames with a miniature, custom design. This innovation ensures precise stimulator placement, crucial for effective neurological treatments.

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Related Experiment Videos

Last Updated: Jun 25, 2026

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Analysis of Gene Expression Changes in the Rat Hippocampus After Deep Brain Stimulation of the Anterior Thalamic Nucleus

Published on: March 8, 2015

Area of Science:

  • Neurosurgery
  • Medical Device Engineering
  • Biomedical Imaging

Background:

  • Deep-brain-stimulation (DBS) requires highly accurate placement of implanted stimulators.
  • Traditional stereotactic frames, while accurate, are bulky and universal.
  • The microTargeting Platform (FHC, Inc.) is a novel, miniature, custom-designed alternative.

Purpose of the Study:

  • To evaluate the in vitro targeting accuracy of the microTargeting Platform.
  • To compare the platform's accuracy against the requirements for DBS surgery.
  • To assess the efficacy of a novel "virtual target" method for accuracy evaluation.

Main Methods:

  • Utilized "virtual targets" by mounting fiducial markers on an artificial skull to define targets relative to the skull.
  • Implemented a fiducial system for geometrical transformation from image to physical space, surrounding targets to minimize localization inaccuracies.
  • Selected targets based on an atlas derived from 31 deep-brain-stimulation patient data.
  • Measured targeting error as the displacement between a phantom implant and the virtual target.

Main Results:

  • The microTargeting Platform demonstrated submillimetric in vitro targeting accuracy.
  • The mean targeting error was measured at 0.42 mm.
  • The 99.9% confidence level for targeting error was 0.90 mm.

Conclusions:

  • The microTargeting Platform achieves the submillimetric accuracy essential for deep-brain-stimulation surgery.
  • The "virtual target" methodology provides a robust method for evaluating targeting accuracy without implant-target collision.
  • The platform represents a significant advancement over traditional stereotactic frames for precise neurosurgical interventions.