collect scan data for a bunch of gradient strengths, and then plot the relationship of scaling factor of gradient tick to slope / gradient strength for each direction. use a large phantom to do this, maybe the big box phantom to do this.

this is dependent on the following tasks:

2 because this will make it much easier to script this in a jupyter notebook and generate the plots easily after that fact

This is a precursor to the following task:

8 This needs to be done before we can eliminate the need to pre-record gradients in the calibration sequence.

End result of this ticket should be a solid answer that shows the conversion from tick mark to gradient field strength for each of the linear gradients. this should then allow me to complete #8.

rpeltekov / ge3t_shim_tool

characterize performance / linearity of the gradients #16

2 because this will make it much easier to script this in a jupyter notebook and generate the plots easily after that fact

8 This needs to be done before we can eliminate the need to pre-record gradients in the calibration sequence.