Transient steady state model

[ckolbPTB]

This signal model describes a continuous data acquisition after a preparation pulse assuming perfect spoiling (i.e. ignoring any T2 effects).

This signal model describes the data aquisition used by Simone and for the 2s-T1-mapping proposed by Kirsten.

[github-actions]

Coverage Report

File	Stmts	Miss	Cover	Missing
src/mrpro/algorithms/csm
iterative_walsh.py	15	1	93%	50
src/mrpro/algorithms/optimizers
adam.py	17	1	94%	81
src/mrpro/algorithms/reconstruction
DirectReconstruction.py	63	36	43%	69–74, 91–99, 111–113, 129–136, 150–161
Reconstruction.py	10	1	90%	36
src/mrpro/data
AcqInfo.py	83	2	98%	100, 138
CsmData.py	21	3	86%	28, 72–74
DcfData.py	91	5	95%	36, 42, 86, 111, 199
IData.py	61	3	95%	136, 142, 146
IHeader.py	60	2	97%	81, 108
KHeader.py	133	12	91%	37, 84–88, 123, 173, 184, 191–192, 195, 202
KNoise.py	23	9	61%	59–72
MoveDataMixin.py	133	14	89%	36, 130, 146, 160–162, 223, 286, 300, 379, 399–400, 417–418
QData.py	31	1	97%	56
SpatialDimension.py	46	1	98%	80
TrajectoryDescription.py	14	1	93%	38
acq_filters.py	10	1	90%	61
src/mrpro/data/_kdata
KData.py	100	7	93%	90–91, 146–147, 182, 187–188
KDataRemoveOsMixin.py	30	2	93%	54, 56
KDataSelectMixin.py	22	2	91%	63, 79
KDataSplitMixin.py	51	3	94%	67, 97, 106
src/mrpro/data/traj_calculators
KTrajectoryCalculator.py	27	2	93%	40, 62
KTrajectoryIsmrmrd.py	14	2	86%	55, 64
KTrajectoryPulseq.py	30	1	97%	70
src/mrpro/operators
CartesianSamplingOp.py	50	9	82%	63–64, 69–70, 75–76, 102, 105, 128
ConstraintsOp.py	61	2	97%	61, 63
EndomorphOperator.py	58	2	97%	231, 235
FastFourierOp.py	31	2	94%	84, 94
FiniteDifferenceOp.py	27	2	93%	62, 127
FourierOp.py	78	1	99%	147
GridSamplingOp.py	123	9	93%	74–75, 84–85, 92–93, 96, 98, 100
LinearOperator.py	86	4	95%	45, 144, 264, 269
Operator.py	56	1	98%	39
SliceProjectionOp.py	168	8	95%	55, 62, 64, 70, 207, 228, 261, 301
ZeroPadOp.py	16	1	94%	44
src/mrpro/utils
Rotation.py	458	30	93%	61–71, 111, 288, 374, 376, 403, 458, 463, 466, 481, 498, 503, 647, 652, 655, 671, 675, 750, 752, 760–761, 1001, 1083
filters.py	63	3	95%	53, 58, 72
slice_profiles.py	45	6	87%	32, 48, 125–128, 161
sliding_window.py	35	1	97%	48
split_idx.py	10	2	80%	57, 61
zero_pad_or_crop.py	31	6	81%	40, 44, 68, 71, 74, 77
TOTAL	3284	201	94%

Tests	Skipped	Failures	Errors	Time
725	0 💤	0 ❌	0 🔥	1m 10s ⏱️

[guastinimara]

I tried it on Kirsten data and it works perfectly fine