AcquisitionBucket

class pulserver.mrd.AcquisitionBucket

Bases: object

Acquisitions accumulated up to a boundary, split as Gadgetron splits them.

Parameters:

• data (tuple[Any, ...]) – Imaging acquisitions.

• datastats (tuple[pulserver.mrd._acquisitions.AcquisitionBucketStats, ...]) – One AcquisitionBucketStats per encoding space in data.

• ref (tuple[Any, ...]) – Parallel-imaging calibration acquisitions. One flagged as calibration and imaging appears in both data and ref.

• refstats (tuple[pulserver.mrd._acquisitions.AcquisitionBucketStats, ...]) – One AcquisitionBucketStats per encoding space in ref.

• waveforms (tuple[Any, ...]) – Waveforms received with the stream.

• acquisitions (tuple[Any, ...]) – Every acquisition in arrival order; the last one closed the bucket. Empty derives it as data followed by the ref entries not in data.

Examples

>>> import numpy as np
>>> import pulserver.mrd as mrd
>>> bucket = mrd.AcquisitionBucket.from_arrays(
...     np.ones((4, 2, 8), dtype=np.complex64),
...     labels={"kspace_encode_step_1": np.arange(4)},
... )
>>> len(bucket.data)
4

Methods

from_arrays	Build a bucket from arrays, without MRD objects.
kspace	Stack data (or ref) as (acquisitions, coils, samples).
labels	Return one encoding counter per acquisition, 0 where absent.
trajectory	Stack trajectories as kspace() stacks data.

Attributes

acquisitions
datastats
headers	Native headers of the imaging acquisitions.
ref
refstats
trigger	Boundary flags of the last acquisition; no flags for an empty bucket.
waveforms
data