NeedleFinder

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Home < NeedleFinder

Key Investigators

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

Project Description

Objective

  • Improve performance and usability of NeedleFinder * Demo Video
    • Code profiling, refactoring
    • GUI simplification
      • Provide Bounding Box/Region of Interest
    • Semi-Automatic needle tip (and body) detection
    • Parameter optimization

Approach, Plan

  • Improvements of the source code quality, algorithms and GUI (usability):
    • Ad-hoc python profiling concept (method tagging, logging and message boxes as code probes)
    • Improved standardized and guided workflow more usable by MDs (state machine)
      • Interaction protocol using existing tools for MD to provide bounding-box quickly
    • Incorporate SimpleITK filtering/preprocessing and a little user interaction (try e.g. derivatives: gradient magnitude, vesselness)
    • Look into machine learning (implement simple genetic algorithm & compare to brute-force grid search)

Progress

  • Overall: N/Y
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References