Documentation/Nightly/Modules/SkullStripper

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GE Global Research   Kitware, Inc.   National Alliance for Medical Image Computing (NA-MIC)

Introduction and Acknowledgements

Extension: SkullStripper Acknowledgments: This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Implementation of the Fuzzy Classification was contributed by Dr. Ming-Ching Chang from GE Research. OASIS datasets were used to generate images on this page. Author: Xiaodong Tao (GE) Contributor1: Jean-Christophe Fillion-Robin (Kitware) Contact: Xiaodong Tao, <email>taox@research.ge.com</email>

Use Cases

Input T1 Image

Brain mask as contour

Brain surface

Panels and their use

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.