Difference between revisions of "2011 Summer Project Week Slicer Extension for GLISTR"

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[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)
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[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)
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[3] J. Sled, A. Zijdenbos, A. Evans: A nonparametric method for automatic correction of intensity nonuniformity in MRI data (1998)
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[4] SM. Smith: Fast robust automated brain extraction (2002)
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[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==
 
==Delivery Mechanism==

Revision as of 17:29, 9 June 2011

Home < 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

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