2011 Summer Project Week Slicer Extension for GLISTR
Slicer Extension for GLioma Image SegmenTation and Registration (GLISTR)
Key Investigators
- University of Pennsylvania: Andreas Schuh
Objective
Implementing a Slicer extension for the GLISTR software.
Approach, Plan
Getting familiar with the extension interfaces of Slicer to decide which one is most appropriate for the integration of GLISTR. Likely, this will be the command-line interface. Then, implementing the Slicer extension (i.e., most likely a command-line module).
Progress
References
[1] A. Gooya, K. Pohl, M. Billelo, G. Biros, C. Davatzikos: Joint segmentation and deformable registration of brain scans guided by a tumor growth model. In: Proc. MICCAI (2011)
[2] C. Hogea, C. Davatzikos, G. Biros: An image-driven parameter estimation problem for a reaction-diffusion glioma growth model with mass effects. J. Math. Biol 56, 793–825 (2008)
[3] J. Sled, A. Zijdenbos, A. Evans: A nonparametric method for automatic correction of intensity nonuniformity in MRI data (1998)
[4] SM. Smith: Fast robust automated brain extraction (2002)
[5] Y. Zhang, M. Brady, S. Smith: Segmentation of brain MR images through a hidden markov random field model and the expectation maximization algorithm. IEEE Trans. Med. Imag. 20, 45–57 (2001)
Delivery Mechanism
This work will be delivered to the NAMIC Kit as a
- NITRIC distribution
- Slicer Module
- Built-in: No
- Extension -- commandline: Yes
- Extension -- loadable: No