3D SIFT VIEW

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New Visualization

Lung CT
Prostate US

Key Investigators

  • Matthew Toews, Raul San Jose, Steve Pieper, Nicole Aucoin, Bill Lorensen, Lauren O'Donnell, Andriy Fedorov, William Wells BWH

Code

3D SIFT feature extraction code http://www.matthewtoews.com/fba/featExtract1.5.zip

Python conversion code Media:3D_SIFT_VISUALIZATION.gz

Project Description

Objective

  • Generate effective visualizations for 3D SIFT feature sets in Slicer.

Approach, Plan

  • Investigate methods for visualizing 3D feature location, scale, orientation and group label (e.g. diseased, healthy)
  • Location, scale: spheres (markups), group labels: color/transparency
  • Visualization: Slicer Python module based on Slicer Markups
  • Data preparation: c++

Progress

  • Evaluated Slicer fiducials and VTK glyph models for feature display
  • Developed a python script to convert a 3D SIFT feature file into a VTK model (thanks Lauren, Nicole)
  • ToDo:
    • display feature orientation (possibly as another glyph)
    • display varying feature opacity