Raw data

Data from the scanner before images are reconstructed from it.

class fileformats.medimage.Kspace(*fspaths: Iterable[str | Path] | str | Path | fileformats.core.FileSet, metadata: Dict[str, Any] | None = None, **load_kwargs: Any)

Bases: BinaryFile

class fileformats.medimage.Rda(*fspaths: Iterable[str | Path] | str | Path | fileformats.core.FileSet, metadata: Dict[str, Any] | None = None, **load_kwargs: Any)

Bases: BinaryFile

MRS format

class fileformats.medimage.PetRawData(*fspaths: Iterable[str | Path] | str | Path | fileformats.core.FileSet, metadata: Dict[str, Any] | None = None, **load_kwargs: Any)

Bases: BinaryFile, MedicalImagingData

Base class for raw PET data files

class fileformats.medimage.PetListMode(*fspaths: Iterable[str | Path] | str | Path | fileformats.core.FileSet, metadata: Dict[str, Any] | None = None, **load_kwargs: Any)

Bases: PetRawData

raw projection data

class fileformats.medimage.PetSinogram(*fspaths: Iterable[str | Path] | str | Path | fileformats.core.FileSet, metadata: Dict[str, Any] | None = None, **load_kwargs: Any)

Bases: PetRawData

histogrammed projection data in a reconstruction-friendly format

class fileformats.medimage.PetCountRate(*fspaths: Iterable[str | Path] | str | Path | fileformats.core.FileSet, metadata: Dict[str, Any] | None = None, **load_kwargs: Any)

Bases: PetRawData

number of prompt/random/single events per unit time

class fileformats.medimage.PetNormalisation(*fspaths: Iterable[str | Path] | str | Path | fileformats.core.FileSet, metadata: Dict[str, Any] | None = None, **load_kwargs: Any)

Bases: PetRawData

normalisation scan or the current cross calibration factor