hcmh
commented
2 years ago Hi Georg,
such questions are better placed on the mailing list:
https://lists.eecs.berkeley.edu/sympa/info/mrirecon
as a question is not an issue with bart.
As to your question: for regular Cartesian undersampling, there is upat. However, in the paper you linked, they are using random Cartesian undersampling in 1D. For this, I think the only way to do it with bart tools is using poisson with bart poisson -Z1 (so, setting one of the dimensions to 1), and then adding a calibration region by hand.
If you want more specific answers, please use the mailing list.
Best regards, Christian
Hi,
I'm an absolute Bart newbie.
I was wondering, whether it is possible with Bart to create 2D cartesian undersampling patterns. What I mean by that are masks, e.g. like those in Figure 5 in this paper: https://arxiv.org/abs/1811.08839 I am only aware of the tools: poisson & traj. Both seem to have a different purpose.
Could you explain either: How to create such masks or if there is a reason (other than time) why it is not implemented, if not?
Thanks a lot in advance, Georg
PS: Also, Idon't know whether this is the most appropriate place to ask such questions. Hint for other ways of asking questions are appreciated as well.