bSSFPSimulator

class torchsim.simulators.bSSFPSimulator(*args, **kwargs)

Bases: Simulator

The balanced SSFP steady state, read at the echo time.

A balanced repetition returns the transverse magnetization to where it started, so the steady state is a closed form in the phase a voxel accrues across one TR and no state machine is run. Fitting T2 to a set of these, given a T1 from SPGRSimulator, is DESPOT2 [1].

References

[1]

Deoni, S. C. L., Peters, T. M., Rutt, B. K., “High-resolution T1 and T2 mapping of the brain in a clinically acceptable time with DESPOT1 and DESPOT2”, Magnetic Resonance in Medicine 53.1 (2005), pp. 237-241. https://doi.org/10.1002/mrm.20314

Examples

from torchsim.simulators import bSSFPSimulator

sequence = bSSFPSimulator(flip=60.0, TR=10.0, TE=5.0)
signal = sequence.simulate(T1=1000.0, T2=100.0)

Methods

bind	This simulator with more fixed on it, values or settings alike.
describe	Return the description this protocol plays.
evaluate	Evaluate the closed form, no state machine and no description.
from_description	Return a simulator over a stream someone else assembled.
from_pulseq	Return a simulator over one repetition of a Pulseq sequence.
jacobian	Return the signal and its derivative with respect to diff.
layout	Return the operators of one repetition, in the order they play.
played	Return the protocol as it will be laid out.
repetition_s	Return how long one repetition lasts, given what the layout played.
simulate	Return the recorded signal.

evaluate(properties, **sequence)

Evaluate the closed form, no state machine and no description.