Difference between revisions of "2014 Summer Project Week:Intelligent Steering"

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Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]
 
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Image:Steered_rotations0_h.png| 2D slice views of fixed image using different PCA axis combinations
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Image:Steered_rotations1_h.png| 2D slice views of moving image using different PCA axis combinations
 
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==Project Description==
 
==Project Description==
Steered image registration in Slicer
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Steered image registration in Slicer using intelligent interaction rather than direct interaction where user specifies deformation changes.
 
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
* Investigate data exploration techniques for highlighting rotational errors
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* Investigate data exploration techniques for highlighting common registration errors (local rotation, shift, and scaling)
* Implement efficient, responsive extensions using PyOpenCL
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* Implement efficient, responsive extensions using the Slicer 4 Python extension platform and PyOpenCL
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
*
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* Testing the use of robust PCA for providing hints on rotational misalignment
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* Investigating the modeling of appropriate correction steps given the possible misalignments
 
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==References==
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[https://www.youtube.com/watch?v=sfAMD5wSvlQ Video of Direct Steering Interaction]

Latest revision as of 04:18, 27 June 2014

Home < 2014 Summer Project Week:Intelligent Steering

Key Investigators

  • Marcel Prastawa, GE
  • Jim Miller, GE
  • Steve Pieper, Isomics

Project Description

Steered image registration in Slicer using intelligent interaction rather than direct interaction where user specifies deformation changes.

Objective

  • Develop interaction schemes that allows users to indicate incorrect regions
  • Provide intelligent interfaces so users provide minimal interaction without detailed control of image deformations

Approach, Plan

  • Investigate data exploration techniques for highlighting common registration errors (local rotation, shift, and scaling)
  • Implement efficient, responsive extensions using the Slicer 4 Python extension platform and PyOpenCL

Progress

  • Testing the use of robust PCA for providing hints on rotational misalignment
  • Investigating the modeling of appropriate correction steps given the possible misalignments

References

Video of Direct Steering Interaction