3D SIFT VIEW

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  Projects List

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  Lung CT, 3D volume visualization

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  Brain MR, 2D slice visualization

New Visualization

Lung CT

Prostate US

Key Investigators

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

Code

3D SIFT feature extraction <a href="http://www.matthewtoews.com/fba/featExtract1.5.zip">code</a>

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