Difference between revisions of "2014 Summer Project Week:Surface approximation from contour points"
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==Project Description== | ==Project Description== | ||
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| + | This Project is to develop a Slicer module which can produce a surface from a mask image. The input is a mask and the output is a surface. This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute & Harvard Medical School. | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Objective</h3> | <h3>Objective</h3> | ||
| − | * | + | *Develop a Slicer module which can approximate surface from a mask image. |
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
| − | * | + | * Extract contours from a mask image |
| + | * Get points on the contours | ||
| + | * Construct a initial surface using Slicer Module of "Model Maker" | ||
| + | * Look for a closest point to each contour point from "Model Maker" result | ||
| + | * Assign the normal of the closest point to the corresponding contour point | ||
| + | * Reconstruct a surface from contour points using Poisson surface reconstruction algorithm | ||
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
Revision as of 21:30, 11 June 2014
Home < 2014 Summer Project Week:Surface approximation from contour points
Key Investigators
Project Description
This Project is to develop a Slicer module which can produce a surface from a mask image. The input is a mask and the output is a surface. This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute & Harvard Medical School.
Objective
- Develop a Slicer module which can approximate surface from a mask image.
Approach, Plan
- Extract contours from a mask image
- Get points on the contours
- Construct a initial surface using Slicer Module of "Model Maker"
- Look for a closest point to each contour point from "Model Maker" result
- Assign the normal of the closest point to the corresponding contour point
- Reconstruct a surface from contour points using Poisson surface reconstruction algorithm
