Difference between revisions of "2011 Summer Project Week Slicer Extension for GLISTR"
(→Key Investigators: Added reference) |
|||
Line 14: | Line 14: | ||
<h3>Objective</h3> | <h3>Objective</h3> | ||
− | Implementing a Slicer extension for the GLISTR software. | + | Implementing a Slicer extension for the GLISTR [1] software. |
Revision as of 17:29, 9 June 2011
Home < 2011 Summer Project Week Slicer Extension for GLISTRSlicer 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
- NITRIC distribution
- Slicer Module
- Built-in: No
- Extension -- commandline: Yes
- Extension -- loadable: No