Difference between revisions of "Projects/Structural/2007 Project Week Nonrigid Groupwise Registration"
| Line 19: | Line 19: | ||
We implemented a non-rigid groupwise registration method using sum of pixelwise entropies | We implemented a non-rigid groupwise registration method using sum of pixelwise entropies | ||
as a joint alignment criterion. | as a joint alignment criterion. | ||
| + | We have chosen B-splines as our non-rigid deformation model and optimized ITK's B-Spline implementation by computing jacobian field locally. | ||
We extended ITK's pairwise registration framework to include groupwise registration methods. | We extended ITK's pairwise registration framework to include groupwise registration methods. | ||
We provide an efficient implementation of the objective function using multi-threaded classes. | We provide an efficient implementation of the objective function using multi-threaded classes. | ||
| − | |||
To compare our registration framework to a pairwise approach we use a template based method where we register every subject to the mean image using sum of squared differences. | To compare our registration framework to a pairwise approach we use a template based method where we register every subject to the mean image using sum of squared differences. | ||
Revision as of 02:14, 25 June 2007
Home < Projects < Structural < 2007 Project Week Nonrigid Groupwise RegistrationKey Investigators
- MIT: Serdar K Balci, Polina Golland
- Kitware: Luis Ibanez
Objective
Our objective is to bring a collection of images into joint alignment.
Approach, Plan
We implemented a non-rigid groupwise registration method using sum of pixelwise entropies as a joint alignment criterion. We have chosen B-splines as our non-rigid deformation model and optimized ITK's B-Spline implementation by computing jacobian field locally. We extended ITK's pairwise registration framework to include groupwise registration methods. We provide an efficient implementation of the objective function using multi-threaded classes. To compare our registration framework to a pairwise approach we use a template based method where we register every subject to the mean image using sum of squared differences.
Our plan is to incorporate our implementation into ITK and to provide test cases for validation.
Progress
The code is submitted to ITK repositories(DONE). Submission to Insight Journal.
