deepmr.bloch.Relaxation#
- class deepmr.bloch.Relaxation(device, time, T1, T2, weight=None, k=None, df=None, **kwargs)[source]#
The “decay operator” applying relaxation and “regrowth” of the magnetization components.
- Parameters:
(str) (device) – Computational device (e.g.,
cpu
orcuda:n
, withn=0,1,2...
).time (torch.Tensor)) – Time step in
[ms]
.T1 (torch.Tensor) – Longitudinal relaxation time in
[ms]
of shape(npools,)
.T2 (torch.Tensor) – Transverse relaxation time in
[ms]
of shape(npools,)
.weight (torch.Tensor, optional) – Relative pool fractions of shape
(npools,)
.k (torch.Tensor, optional) – Exchange matrix of shape
(npools, npools)
in[s**-1]
.df (torch.Tensor, optional) – Chemical shift in
[Hz]
of shape(npools,)
.name (str) – Name of the operator.
Methods
__init__
(device, time, T1, T2[, weight, k, df])apply
(states)Apply free precession (relaxation + precession + exchange + recovery).