2011 Summer Project Week Slicer Extension for GLISTR

• 

  Projects List

Slicer Extension for GLioma Image SegmenTation and Registration (GLISTR)

Key Investigators

• University of Pennsylvania: Andreas Schuh

Objective

Implementing a Slicer extension for the GLISTR [1] 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

1. NITRIC distribution
2. Slicer Module
   1. Built-in: No
   2. Extension -- commandline: Yes
   3. Extension -- loadable: No