Difference between revisions of "2010 Summer Project Week Fiducial Deformable Registration"
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| − | 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 | + | 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. |
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| − | + | The code for the two scenarios of landmark matching has been implemented to our on house open source Plastimatch software. The methods have been validated on synthetic images and on lung CT scans obtained from NBIA data base. Statistical analysis for mathod validation has been performed on 4D CT scans obtained from http:\\www.dir-lab.com | |
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Revision as of 18:21, 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.
Our plan for the project week is to first try out <bar>,...
Progress
The code for the two scenarios of landmark matching has been implemented to our on house open source Plastimatch software. The methods have been validated on synthetic images and on lung CT scans obtained from NBIA data base. Statistical analysis for mathod validation has been performed on 4D CT scans obtained from http:\\www.dir-lab.com
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
