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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| − | + | Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points. | |
| + | 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 [1]. | ||
<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 | + | * Develop a Slicer module for approximating object surface from point cloud. |
</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 | + | * Initial approach is based on the following steps |
| − | * Get points on the contours | + | ** Extract contours from a mask image |
| − | * Construct a initial surface using Slicer Module of "Model Maker" | + | ** Get points on the contours |
| − | * Look for a closest point to each contour point from "Model Maker" result | + | ** Construct a initial surface using Slicer Module of "Model Maker" |
| − | * Assign the normal of the closest point to the corresponding contour point | + | ** Look for a closest point to each contour point from "Model Maker" result |
| − | * Reconstruct a surface from contour points using Poisson surface reconstruction algorithm | + | ** Assign the normal of the closest point to the corresponding contour point |
| + | ** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm | ||
| + | * Discuss alternative approaches for estimating normals | ||
| + | * Evaluate applicability on other datasets | ||
</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> | ||
| − | * | + | * Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available] |
| − | </div> | + | * initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset] |
| + | </div> | ||
| + | <h3>References</h3> | ||
| + | [1] Doria, D., and A. Gelas. "Poisson surface reconstruction for VTK." The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL] | ||
</div> | </div> | ||
Revision as of 02:22, 23 June 2014
Home < 2014 Summer Project Week:Surface approximation from contour points
Key Investigators
- Chenxi Zhang, SPL/FudanU
- Csaba Pinter, QueensU
- Andrey Fedorov, SPL
Project Description
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points. 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 [1].
Objective
- Develop a Slicer module for approximating object surface from point cloud.
Approach, Plan
- Initial approach is based on the following steps
- 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
- Discuss alternative approaches for estimating normals
- Evaluate applicability on other datasets
Progress
- Initial implementation as a Slicer CLI module is available
- initial evaluation is done for the prostate manual segmentation contours from this publicly available dataset
References
[1] Doria, D., and A. Gelas. "Poisson surface reconstruction for VTK." The VTK Journal (2010). URL
