BrainVoyager QX v2.8
Fine-Tuning Alignment (FA) Step
The fine-tuning alignment step can be performed in different ways:
- Gradient-driven affine transformations. This alignment approach (default) provides highly accurate results.
- Intensity-driven multi-scale rigid-body transformations. This approach provides good results but it is more dependent on spatial inhomogeneities and does not consider scalings and shears to improve correspondence between source and target volumes.
- Manual adjustment of rotation, translation and scale parameters. This approach allows to coregister FMR/DMR and VMR data sets in case that the automatic versions can not be applied, e.g. in case that only a single functional or diffusion-weighted slice has been scanned.
The two automatic FA versions are described in the next topic. The third approach is descriebed below.
If the automatic fine-tuning does not work as desired, the coregistration might be improved by manually adjusting the rotation and translation parameters. If this step is performed after the initial alignment, the effect of changing the respective transformation values are intuitive and can be learned quickly. If this step would be performed prior to intial alignment, one would have to find large displacements and rotations making it difficult to handle this problem. Besides facilitating manual alignment in this way, QX also uses improved visualization tools to judge the alignment showing the three major orientation views for both the source and the target data set. It also allows to enter floating point values in the translation and scale parameter fields to allow obtaining optimal results.
Copyright © 2014 Rainer Goebel. All rights reserved.