Difference between revisions of "2011 Winter Project Week:Efficient co-registration of multiple MR modalities using the ABC"
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** Fast Rigid Registration | ** Fast Rigid Registration | ||
** Fast Affine Registration | ** Fast Affine Registration | ||
| + | We found the results of rigid registration of different modules are good for doing co-registration (they are slightly different). | ||
| + | |||
* Co-registration can be done by writing scripts and using these modules | * Co-registration can be done by writing scripts and using these modules | ||
* The User interface of current modules are not appropriate for multi-modal longitudinal data. | * The User interface of current modules are not appropriate for multi-modal longitudinal data. | ||
Revision as of 15:52, 14 January 2011
Home < 2011 Winter Project Week:Efficient co-registration of multiple MR modalities using the ABC
Illustration
Result of co-registration 1
Result of co-registration 2
Key Investigators
- Utah: Bo Wang, Marcel Prastawa, Guido Gerig
- UCLA: Jack Van Horn, Andrei Irimia, Micah Chambers
Objective
Up to now, the UCLA clinicians haven't done any studies on multiple MR modalities. We want to explore the use of ABC for coregistering different modalities for multiple modalities analysis, joint visualization of multiple co-registered modalities.
Approach, Plan
ABC (Atlas-Based Classification) is a fully automatic segmentation method developed in Utah. It can process arbitrary number of channels/modalities by co-registration, it integrates brain stripping, bias correction and segmentation into one optimization framework. A brain atlas is used as spatial priors for tissue categories. We want to use ABC to do efficient co-registration of multiple MR modalities, joint visualization of multiple co-registered modalities.
Progress
We did the following works during the project week.
- Understand the requirements of neurosurgeons and clinicians
- Co-registration of multi-modal longitudinal data is important, this would allow the neurosurgeons and clinicians to compare the pathology (lesion, bleeding) across different modalities and time points.
- Try the current Slicer registration modules. We tried the following modules.
- Robust Multiresolution Affine Registration
- Fast Rigid Registration
- Fast Affine Registration
We found the results of rigid registration of different modules are good for doing co-registration (they are slightly different).
- Co-registration can be done by writing scripts and using these modules
- The User interface of current modules are not appropriate for multi-modal longitudinal data.
We also knew from the Engineering core that they're working on changing the display module of Slicer. The new module will support the multi-modal data.
