FSESimulator

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

Bases: Simulator

A refocused echo train, sampled at every echo.

Examples

import torch
from torchsim.simulators import FSESimulator

sequence = FSESimulator(flip=180.0 * torch.ones(128), ESP=2.0, TR=5000.0)
signal = sequence.simulate(T1=1000.0, T2=80.0)

Methods

bind	This simulator with more fixed on it, values or settings alike.
describe	Return the description this protocol plays.
evaluate	Simulate one train, then let it recover for what is left of the TR.
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 train, placed at the echo times it is timed from.
played	Return the protocol as it will be laid out.
repetition_s	Return the TR, which the train waits out before the next one.
simulate	Return the recorded signal.

layout(*, flip, ESP, phases=0.0, exc_flip=90.0, exc_phase=90.0, TR=1e6)

Return the train, placed at the echo times it is timed from.

Parameters:

• flip (float or array-like) – Refocusing flip angles in degrees, one per echo.

• ESP (float or array-like) – Echo spacing in milliseconds.

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

• exc_flip (float, optional) – The excitation, in degrees.

• exc_phase (float, optional) – The excitation, in degrees.

• TR (float or array-like, optional) – Repetition time in milliseconds, which sets how far the longitudinal magnetization recovers before the next train.

repetition_s(played_s, **protocol)

Return the TR, which the train waits out before the next one.

evaluate(properties, **sequence)

Simulate one train, then let it recover for what is left of the TR.