Simulation with Time resolved Phantom

[CyprienBouton]

• Add a class DynamicVoxelPhantom subclass of VoxelGridPhantom to handle variation of T1 and T2 during acquisition time
• Adapt python/MRzeroCore/main_pass.py, src/lib.rs and src/prepass.rs to handle DynamicVoxelPhantom

[J-Endres]

That's a great, well written contribution!
I'm just wondering what's the best way of defining the varying T1 / T2 maps - may I ask what's your use-case?
In your implementation, these maps are constant per repetition, but maybe there are applications where setting a series of T1 / T2 snapshots at arbitrary time points would be even more helpful, but on the other hand this might over-engineered.

I'm asking because there are (internal) developments for dynamic B0 as well and there should be a consistent story for all phantom parameters.

So your feedback of your exact use would be very helpful, as is your implementation!

[CyprienBouton]

I have now included dynamic B0 and D maps.
My use case is an acquisition with a contrast agent where the concentration evolve over time.
In my case the repetition time is short enough (~1 seconds) compare to the the acquisition time (5-15 min)
What application with varying parameters within a repetition do you have in mind ?