NeedleFinder

• 

  Projects List

Key Investigators

Andre Mastmeyer, Guillaume Pernelle, Yang Gao, Tina Kapur, Steve Pieper, Ron Kikinis

Project Description

Objective

• Improve performance and usability of NeedleFinder [ADD A SHORT MOVIE TO SHOW WHAT IT DOES TODAY]
  • Code profiling, refactoring
  • Provide Bounding Box/Region of Interest
  • GUI simplification
  • Automatic needle tip (and body) detection
  • Parameter optimization

Approach, Plan

• SimpleITK filtering (e.g. derivatives: gradient magnitude, vesselness etc.)
• Rigid registration of CAD models to (preprocessed) scene (ICP, Besl)
• Machine learning (genetic algorithm etc.)
• New ad-hoc python profiling concept (logging and message boxes as code probes)
• Improved standardized and guided workflow more usable by MDs (disabling unsuitable buttons)

Progress

• N/Y
• N/Y
• N/Y
• N/Y
• N/Y

References

• Validation of catheter segmentation for MR-guided gynecologic cancer brachytherapy. Med Image Comput Comput Assist Interv. 2013;16(Pt 3):380-7.
• ADD LINK FOR EXISTING DOCUMENTATION FOR NEEDLE FINDER IN SLICER