Documentation/Nightly/Extensions/SurfaceReconstruction

For the latest Slicer documentation, visit the read-the-docs.

Introduction and Acknowledgements

Extension: SurfaceReconstruction Acknowledgments: 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 Author: Chenxi-Zhang (SPL & FDU) Contributor1: David-Doria Arnaud-Gelas (Rensselaer Polytechnic Institute & Harvard Medical School) Contributor2: Michael-Kazhdan Matthew-Bolitho Hugues-Hoppe (Johns Hopkins University) Contributor3: Jean-Christophe Fillion-Robin (Kitware) Contact: Chenxi-Zhang, <email>chenxizhang@fudan.edu.cn</email>

Module Description

A SurfaceReconstruction model produces a surface from a segmented contour. The input is a mask and the output is a surface

Use Cases

Input Mask Image

File:.png Brain mask as contour

File:.png Brain surface

Panels and their use

File:.png Module UI

References

• Xiaodong Tao, Ming-ching Chang, “A Skull Stripping Method Using Deformable Surface and Tissue Classification”, SPIE Medical Imaging, San Diego, CA, 2010.
• Ming-ching Chang, Xiaodong Tao “Subvoxel Segmentation and Representation of Brain Cortex Using Fuzzy Clustering and Gradient Vector Diffusion”, SPIE Medical Imaging, San Diego, CA, 2010.