The main goal of this page is to set the grounds and goals for a common visualization framework for vector images.
Description of vector images
We consider vector-valued images for the purpose of this project any image composed by several scalar images in which the dimensions and spatial transforms are the same.
Examples of these are:
- DCM-MRI / functional MRI, nowadays handled by Slicer using Junichi's | FourDAnalysis module
- Deformation fields which are the result of a registration process.
- DWI-MRI, currently handled by Slicer.
- DTI-Images could be set under this category but their visualization use-cases are, maybe, far too different from the others.
- More complex representations of diffusion MRI (DSI, Q-Ball, Multishell)
|Image type||4th axis semantics||Number of samples on the 4th axis|
|DCM-MRI / fMRI||Time||not fixed|
|Deformation field||X,Y,Z components of the transform||3|
|DWI-MRI||a function with domain angle x b-value||not fixed|
|DTI-MRI||Components of a symmetric positive definite matrix||9 (or 6 as there are only 6 independent components)|
|More complex representations of diffusion MRI||spherical harmonic coefficients, angular functions, etc||not fixed|
- Multi-component scalar-volume visualization: as with the DWI-images where there is a slider enabling the user to choose which component to visualize
- Glyph-based visualization: maybe this does not make sense for the DCM or other images where the images, but for DWI, Registration, some examples are
- Visualization as vectors (deformation fields, principal diffusion direction)
- Visualization as Ellipsoids or multicuadrics (representation of DT-MRI)
- 2D-plot exploring of a single voxel as in | FourDAnalysis module
- Colormap visualization: Mapping from a 3D vector to the RGB components. Examples are
- DT-MRI visualization
- Direction of the deformation field at each voxel