MRI signal models#

MRI signal models available in dcmri, as well as their inverses and some utilities such as sampling and adding noise. For more background on these models, see the section on imaging sequences.

Signal models#

signal_dsc(R1, R2, S0, TR, TE)

Signal model for a DSC scan with T2 and T2-weighting.

signal_t2w(R2, S0, TE)

Signal model for a DSC scan with T2-weighting.

signal_ss(S0, R1, TR, FA[, v, Fw, j, R10])

Signal of a spoiled gradient echo sequence applied in steady state.

signal_spgr(S0, R1, T, TR, FA[, TP, v, Fw, ...])

Signal of an SPGR sequence.

signal_free(S0, R1, T, FA[, v, Fw, j, n0, R10])

Signal with readout after a free recovery.

signal_lin(R1, S0)

Signal for any sequence operating in the linear regime.

Inverse signal models#

conc_t2w(S, TE[, r2, n0])

Concentration for a DSC scan with T2-weighting.

conc_ss(S, TR, FA, T10[, r1, n0])

Concentration of a spoiled gradient echo sequence applied in steady state.

conc_src(S, TC, T10[, r1, n0])

Concentration of a saturation-recovery sequence with a center-encoded readout.

conc_lin(S, T10[, r1, n0])

Concentration for any sequence operating in the linear regime.