Related Experiment Video
Updated: Jul 5, 2026
13:18
Robotically Delivered fMRI-Guided Personalized Transcranial Magnetic Stimulation Therapy for Treatment-Resistant Depression
Published on: April 10, 2026
Optimization of postoperative computerized tomographic imaging in patients with the implanted responsive
Allen Waziri1, Hasit Mehta, Robert R Goodman
1Department of Neurological Surgery, Columbia University College of Physicians and Surgeons, New York, NY, USA. aew2001@columbia.edu
Stereotactic and Functional Neurosurgery
|May 16, 2008
Summary
Responsive Neurostimulation System implantation causes metallic artifacts on CT scans, limiting imaging. Optimized CT protocols and postprocessing significantly reduce artifact, improving visualization for epilepsy patients.
Area of Science:
- Neurosurgery
- Medical Imaging
- Radiology
Background:
- Responsive Neurostimulation System (RNS) is an investigational neurosurgical treatment for drug-resistant epilepsy.
- RNS devices cause significant metallic artifacts on conventional CT scans, hindering post-implantation imaging.
- Limited diagnostic imaging options pose challenges for managing patients with RNS implants.
Purpose of the Study:
- To develop and evaluate a strategy to mitigate metallic artifact from RNS devices on CT scans.
- To improve the quality of diagnostic imaging for patients with RNS implants.
- To enhance visualization of the RNS device and electrode placement.
Main Methods:
- Utilized optimized patient positioning during CT acquisition.
- Employed thin-slice image acquisition protocols.
- Applied postprocessing image reconstruction using commercially available software.
Main Results:
- Demonstrated significant reduction in device-related metallic streak artifact on reconstructed axial CT images.
- Successfully generated detailed three-dimensional reconstructions from thin-section data.
- Achieved improved visualization of the RNS stimulator and intracranial electrode positions.
Conclusions:
- The developed strategy effectively overcomes CT artifact challenges associated with RNS implants.
- Optimized imaging protocols and postprocessing enhance diagnostic capabilities for RNS patients.
- Improved visualization aids in the assessment and management of epilepsy patients with RNS therapy.
