Difference between revisions of "2010 Summer Project Week Fiducial Deformable Registration"
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Revision as of 18:11, 6 June 2010
Home < 2010 Summer Project Week Fiducial Deformable Registration
Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
Key Investigators
- UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig
- Utah: Tom Fletcher, Ross Whitaker
Objective
We are developing methods for deformable image registration with landmark information. The goal is to improve the registration if misaligned areas are found.
Approach, Plan
Our approach for using the landmarks is to manually mark the distinct anatomical features by point landmarks after the automatic registration is done. Matching of landmarks is performed by two different scenarios. In one the optimization procedure is applied to the cost function containing an intensity-based data term and a constraint of explicit landmark matching. In another, an initial deformation field obtained from automatic registration is corrected by the field built on RBFs around the landmarks. The main challenge to this approach is <foo>.
Our plan for the project week is to first try out <bar>,...
Progress
Software for the fiber tracking and statistical analysis along the tracts has been implemented. The statistical methods for diffusion tensors are implemented as ITK code as part of the DTI Software Infrastructure project. The methods have been validated on a repeated scan of a healthy individual. This work has been published as a conference paper (MICCAI 2005) and a journal version (MEDIA 2006). Our recent IPMI 2007 paper includes a nonparametric regression method for analyzing data along a fiber tract.
Delivery Mechanism
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)
- ITK Module
- Slicer Module
- Built-in
- Extension -- commandline
- Extension -- loadable
- Other (Please specify)
References
- G. C. Sharp, R. Li, J. Wolfgang, G. TY Chen, M. Peroni, M. F. Spadea, S. Mori, J. Zhang, J. Shackleford, N. Kandasamy, Plastimatch - an open source software suite for radiotherapy image processing, In the proceedings of the 16th International Conference on the Use of Computers in Radiotherapy (ICCR 2010), Amsterdam, The Netherlands.
- Plastimatch. http://plastimatch.org
