app.tools.mrd_provider

Tools to provide ISMRM raw data.

Attributes

DATA_LAKE_DIR
RANGE_RE

Functions

locate_mrd(→ pathlib.Path)	Build a file path: /data_lake/{protocol_id}/{task_id}/{result_id}/*.mrd
find_mrd_file(→ pathlib.Path)	Locate the .mrd file from a stored result's directory and file list.
build_index_meta(...)	Build index.
load_acquisitions_slices(...)	Load raw data slice.
parse_ids(→ list[int])	Parse ids.

Module Contents

app.tools.mrd_provider.DATA_LAKE_DIR

app.tools.mrd_provider.RANGE_RE

app.tools.mrd_provider.locate_mrd(protocol_id: str, task_id: str, result_id: str) → pathlib.Path

Build a file path: /data_lake/{protocol_id}/{task_id}/{result_id}/*.mrd

app.tools.mrd_provider.find_mrd_file(directory: str, files: list[str]) → pathlib.Path

Locate the .mrd file from a stored result’s directory and file list.

Used with the flat task-directory layout where the Result DB record stores the actual directory and filenames directly.

app.tools.mrd_provider.build_index_meta(file_path: str) → list[scanhub_libraries.models.MRDAcquisitionInfo]

Build index.

app.tools.mrd_provider.load_acquisitions_slices(file_path: pathlib.Path, acquisition_indices: collections.abc.Iterable[int], coil_idx: int = 0, stride: int = 1, dataset_idx: int = 0) → collections.abc.Iterable[numpy.ndarray]

Load raw data slice.

app.tools.mrd_provider.parse_ids(expr: str) → list[int]

Parse ids.