Difference between revisions of "2014 Project Week:Shape Registration and Regression"

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Image:PW-SLC2014.png|[[2014_Winter_Project_Week#Projects|Projects List]]
 
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Image:Surface_matching_slicers.png|Surface matching in Slicer
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Revision as of 02:55, 10 January 2014

Home < 2014 Project Week:Shape Registration and Regression

Key Investigators

  • Utah: James Fishbaugh, Guido Gerig
  • Iowa: Hans Johnson


Project Description

Objective

Integrate shape matching and shape regression tools into Slicer as command line applications.

Approach, Plan

The first step is to integrate shape matching/registration into Slicer as a command line application. Some key issues to resolve:

  • What input parameters should be made available to user?
  • Input/Output format: Paths to data or Slicer Models?
  • Output is a time series of surfaces, which is not easily explored in Slicer. Should output be simplified? Output could be the deformed source and/or the deformation field that transforms source to target.
  • Dependencies on external libraries and licensing issues.

Progress

Summary

Initial tumor data and shape matching interface.
Source shape registered to target shape.
Source shape with velocity of deformation overlaid on surface.