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]] | Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]] | ||
| + | Image:Steered_rotations0_h.png| 2D slice views of fixed image using different PCA axis combinations | ||
| + | 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 | + | 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 | + | * Investigate data exploration techniques for highlighting common registration errors (local rotation, shift, and scaling) |
| − | * Implement efficient, responsive extensions using PyOpenCL | + | * Implement efficient, responsive extensions using the Slicer 4 Python extension platform and PyOpenCL |
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Progress</h3> | <h3>Progress</h3> | ||
| − | * | + | * Testing the use of robust PCA for providing hints on rotational misalignment |
| + | * Investigating the modeling of appropriate correction steps given the possible misalignments | ||
</div> | </div> | ||
</div> | </div> | ||
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| + | ==References== | ||
| + | [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
2D slice views of fixed image using different PCA axis combinations
2D slice views of moving image using different PCA axis combinations
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
