MPnRAGESimulator

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

Bases: Simulator

An inversion followed by a spoiled gradient-echo train, every shot read.

Examples

from torchsim.simulators import MPnRAGESimulator

sequence = MPnRAGESimulator(nshots=128, flip=5.0, TR=10.0)
signal = sequence.simulate(T1=1000.0, inv_efficiency=0.95)

Methods

bind	This simulator with more fixed on it, values or settings alike.
describe	Return the description this protocol plays.
evaluate	Return the train the inversion recovers through.
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 prepared train, every shot acquired.
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.

layout(*, nshots, flip, TR, TI=0.0, phases=0.0)

Return the prepared train, every shot acquired.

Parameters:

• nshots (int) – Readouts per inversion block.

• flip (float or array-like) – Excitation flip angle in degrees, scalar or one per shot.

• TR (float or array-like) – Repetition time in milliseconds.

• TI (float or array-like, optional) – Inversion time in milliseconds.

• phases (float or array-like, optional) – Excitation phases in degrees.

evaluate(properties, **sequence)

Return the train the inversion recovers through.