2014 Summer Project Week:Surface approximation from contour points
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Key Investigators
- Chenxi Zhang, SPL/FudanU
- Csaba Pinter, QueensU
- Andrey Fedorov, SPL
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