Skip to content

Latest commit

 

History

History
44 lines (27 loc) · 1.75 KB

README.md

File metadata and controls

44 lines (27 loc) · 1.75 KB

Back to Projects List

Real-time visualization for transcranial magnetic stimulation (TMS)

Key Investigators

  • Loraine Franke (University of Massachusetts Boston)
  • Lipeng Ning (BWH & Harvard Medical School)
  • Yogesh Rathi (BWH & Harvard Medical School)
  • Steve Pieper (Isomics, Inc.)
  • Daniel Haehn (University of Massachusetts Boston)

Project Description

Transcranial magnetic stimulation is a nonivasive procedure used for treating depression with magnetic and electric fields to stimulate nerve cells. A TMS coil is slowly moved over the subject's head suface to target certain areas in the brain. Our project aims to develop a deep-learning powered software for real-time E-Field prediction and a visualization of TMS within 3D Slicer.

Objective

Real-time visualization of an electric field (E-field) for transcranial magnetic stimulation (TMS) on the brain surface, possible development of an AR app (over browser).

Approach and Plan

Progress and Next Steps

  • ...

Illustrations

Visualization goal from another software we want to implement as Module in 3D Slicer: Brain surface and DT

Background and References

vtkProbeFilter: https://vtk.org/doc/nightly/html/classvtkProbeFilter.html Moving fiducials with CPYY: https://gist.github.com/pieper/f9da3e0a73c70981b48d0747132526d5

Measure rendering time in 3D Slicer:

  1. Getting renderer: https://slicer.readthedocs.io/en/latest/developer_guide/script_repository.html#access-vtk-views-renderers-and-cameras
  2. Then applying renderer.GetLastRenderTimeInSeconds()