How can I perform an analysis on a large data set with e.g. 800 MRIs? I imagine to process all images uniformly as far as possible automatically in a loop: e.g.
- N4 homogenization algorithm for MRI Bias Field Correction
- LaplacianSharpeningImageFilter to enhance edges
- Vesselness filter
- manual step: local threshold to extract arteries
- manual step: starting points for
- centerline
- saving of results
With the Pipeline Case Iterator plugin, no filters or the N4 algorithm are available to me.
How can I implement such an analysis pipeline? Is it possible without Python programming knowledge? Is there sample code for something like this?