This sequence runs a RARE protocol to get two different images corresponding to odd and even echoes.

This sequence inherits from RARE sequence, so it contains all the parameters provided by RARE

The analysis generates the following outputs:

1. Magnitude
2. Phase
3. k-Space

1. Magnitude
2. Phase
3. k-Space

• acqTime: Acquisition time (ms)
• addRdPoints: Initial rd points to avoid artifact at the beginning of rd
• angle: Rotation angle (º)
• axesEnable: Axes enable. Use 0 for directions with matrix size 1, use 1 otherwise
• axesOrientation: Axes[rd,ph,sl]
• bw_MHz: Acquisition bandwidth (MHz)
• data_decimated: numpy array with dimensions nScans * nSlices * nPhases * nReadouts.
• data_dummy: Data from data_decimated acquired along one echo train after first dummy pulse.
• data_full_even_echoes: Data corresponding to even echoes.
• data_full_odd_echoes: Data corresponding to odd echoes.
• data_noise: Data from data_decimated corresponding to noise measurement.
• data_over: Full data array comming fom red pitaya before decimation.
• data_signal: Data from data_decimated corresponding to k-space
• dfov: Position of the gradient isocenter (mm), dFOV[x,y,z]
• dummyPulses: Number of dummy pulses.
• echoSpacing: Echo spacing (ms)
• etl: Echo train length
• fileName: File name (.mat).
• fov: Field of View [x,y,z] (cm)
• freqOffset: Larmor frequency offset (kHz)
• grad_rise_time: Gradient Rise Time (s)
• image3D_even_echoes: Image acquired from even echoes.
• image3D_odd_echoes: Image acquired from odd echoes.
• inversionTime: Inversion time (ms)
• kSpace3D_even_echoes: numpy array with the acquired k-space from even echoes.
• kSpace3D_odd_echoes: numpy array with the acquired k-space from odd echoes.
• larmorFreq: Larmor frequency (MHz)
• n_batches: Number of executed batches for the sequence.
• n_readouts: Number of acquired points for each batch.
• nPoints: Number of points, nPoints[rd, ph, sl]
• nScans: Number of scans
• parFourierFraction: Partial fourier fraction. Fraction of k planes aquired in slice direction
• partialAcquisition: While doing partial acquisition, this is the number of extra slices acquired next to half nSlices / 2
• ph_grad_amplitude: Máximum applied gradient along phase direction in T/m
• ph_gradients: List of applied phase gradient along the sequence in T/m
• phGradTime: Ph gradient time (ms)
• preExTime: Preexitation time (ms)
• rd_deph_amplitude: Amplitude of the dephasing gradient applied along readout direction in T/m
• rd_grad_amplitude: Amplitude of the readout gradient in T/m
• rd_deph_time: Rd dephasing time (ms)
• rd_grad_time: Rd gradient time (ms)
• rdPreemphasis: Rd preemphasis
• repetitionTime: Repetition time (ms)
• resolution: Nominal pixel size along readout, phase and slice direction
• rf_ex_amp: Amplitude of the excitation rf pulse in a.u. of red pitaya.
• rf_re_amp: Amplitude of the rf refocusing pulse in a.u. of red pitaya.
• rfExFA: Excitation flip angle (º)
• rfExTime: RF excitation time (us)
• rfReFA: Refocusing flip angle (º)
• rfReTime: RF refocusing time (us)
• rotationAxis: Axis where the rotation happens for image angulation.
• sampled_even: numpy array with four columns for [k_readout, k_phase, k_slices, data] (1/m, 1/m, 1/m, mV) corresponding to even echoes.
• sampled_odd: numpy array with four columns for [k_readout, k_phase, k_slices, data] (1/m, 1/m, 1/m, mV) corresponding to odd echoes.
• sampling_period_us: sampling period (us).
• sampling_time_s: sampling time (s) pero acquisition window.
• shimming: Shimming values used along the sequence to homogenize magnetic field, val=[0.0, 0.0, 0.0]
• seqName: Sequence name. In this case: RARE which stands for Rapid Acquisition with Relaxation Enhancement.
• sl_grad_amplitude: Máximum applied gradient along slice direction in T/m
• sl_gradients: List of applied slice gradient along the sequence in T/m
• sweepMode: Sweep mode, 0: sweep from -kmax to kmax. 1: sweep from 0 to kmax. 2: sweep from kmax to 0, val=1
• sweepOrder: Array with the index representing the order of acquired phase lines.