2009 Summer Project Week HAMMER Registration
Key Investigators
- UNC: Guorong Wu, Dinggang Shen
- GE : Xiaodong Tao, Jim Miller
Objective
We will continue developping and testing HAMMER registration algorithm implemented using ITK. The goal is to have an initial version ready by the end of the week that can be distributed within NA-MIC community for more extensive testing.
Approach, Plan
We will develop a Slicer module for the current implementation of the Hammer registration algorithm and test on images from multiple sources to make the algorithm robust and easy to use. Base line results and test will be generated.
Progress
Since winter project week in Utah, we have developed/implemented HAMMER registration algorithm using ITK classes. New ITK classes have been created for tasks of HAMMER. Each component has been tested. The source code is version controlled at NITRC site. The current development corresponds to the original Hammer algorithm that is based on tissue classification of T1 weighted images (as outlined on the first HAMMER paper).
Progress in this na-mic meeting
We have finished following work in this na-mic project meeting:
1. Implemented the framework of multi-resolution.
2. Integrated affine registration as the pre-processing step before HAMMER algorithm.
3. Build up the interface for algorithm.
Future plan
We will continue developping and testing our project after Na-mic meeting. Below is the TO-DO list:
1. Automatically performing skull striping;
2. Integrating HAMMER algorithm as the the module in Slicer
3. Do extensive test on the algorithm and release to the Na-mic community.
Users List
1. Minjing Wu, University of Pisburg
References
- Dinggang Shen, Christos Davatzikos, HAMMER: Hierarchical Attribute Matching Mechanism for Elastic Registration, IEEE Trans. on Medical Imaging, 21(11):1421-1439, Nov 2002.