Episode 4, Exercise 3 Image coordinates, Slicing and Projections

[sommerc]

Brief description

1. Use example data-sets with different imaging modalites to map the physical meaning of an array axis. E.g. Time is first axis then Y and X. Or ZYX. (Optional) Mention typical ordering patterns such as TZCYX and singleton dimensions and how to deal with them.
2. Introduce:
   • numpy indexing to retrieve single pixel values / or together with : to effectively bind a dimension
   • python slices (start, stop) and their use in numpy arrays to access spatial subregions (2D)
   • mixture the two: to select axis aligned sub-slices from 3D data
3. Add the step to effectively sub-sampling arrays. Exampels: Temproral and spatal. Negative step for mirroring
4. Intruduce mean, max, median projections and give examples applying them to example data sets.

Learning objective(s)

covered

Volunteer(s)

@sommerc