Introduction and Acknowledgements
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website.
Most frequently used for these scenarios:
- Use Case 1:
- Use Case 2:
In this example, the Affine Registration module is used to register the mean fMRI image to the baseline DWI image of the same subject. The fMRI data is motion corrected and slice timing. The first four volumes are discarded for stability reasons. The data is then averaged over time to compute the mean fMRI image. The diffusion weighted images are eddy-current corrected and smoothed. The tensors and baseline image are extracted using the Diffusion Tensor Estimation module. These images are loaded into Slicer, and the Register-Affine Registration module is selected:
The fixed image is set to the DWI baseline and the moving image is set to the mean fMRI. The DWI baseline resolution is 1.67x1.67x1.7mm and the fMRI resolution is 1.875x1.875x3mm. The default settings are sufficient to register these images.
Panels and their use
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Information for Developers
|Section under construction.|