monai.deploy.operators.DICOMSeriesToVolumeOperator¶

class monai.deploy.operators.DICOMSeriesToVolumeOperator(fragment, *args, **kwargs)[source]¶

Bases: holoscan.core.Operator

This operator converts an instance of DICOMSeries into an Image object.

The loaded Image Object can be used for further processing via other operators. The data array will be a 3D image NumPy array with index order of DHW. Channel is limited to 1 as of now, and C is absent in the NumPy array.

Named Input:: study_selected_series_list: List of StudySelectedSeries.
Named Output:: image: Image object.

Create an instance for a containing application object.

Parameters: fragment (Fragment) – An instance of the Application class which is derived from Fragment.

Methods

`__init__`(fragment, args, *kwargs)	Create an instance for a containing application object.
`add_arg`(args, *kwargs)	Overloaded function.
`compute`(op_input, op_output, context)	Performs computation for this operator and handles I/O.
`compute_affine_transform`(s_1, s_n, n, series)	Computes the affine transform for this series.
`convert_to_image`(study_selected_series_list)	Extracts the pixel data from a DICOM Series and other attributes to create an Image object
`create_metadata`(series)	Collects all relevant metadata from the DICOM Series and creates a dictionary.
`create_volumetric_image`(vox_data, metadata)	Creates an instance of 3D image.
`generate_voxel_data`(series)	Applies rescale slope and rescale intercept to the pixels.
`initialize`()	Default implementation of initialize
`prepare_series`(series)	Computes the slice normal for each slice and then projects the first voxel of each slice on that slice normal.
`setup`(spec)	Default implementation of setup method.
`start`()	Default implementation of start
`stop`()	Default implementation of stop

Attributes

`args`	The list of arguments associated with the component.
`conditions`	Conditions associated with the operator.
`description`	YAML formatted string describing the operator.
`fragment`	The fragment (`holoscan.core.Fragment`) that the operator belongs to.
`id`	The identifier of the component.
`name`	The name of the operator.
`operator_type`	The operator type.
`resources`	Resources associated with the operator.
`spec`	The operator spec (`holoscan.core.OperatorSpec`) associated with the operator.

class OperatorType(self: holoscan.core._core.Operator.OperatorType, value: int) → None¶

Bases: pybind11_builtins.pybind11_object

Enum class for operator types used by the executor.

NATIVE: Native operator.
GXF: GXF operator.
VIRTUAL: Virtual operator. (for internal use, not intended for use by application authors)

Members:

NATIVE

GXF

VIRTUAL

property name¶

__init__(fragment, *args, **kwargs)[source]¶

Create an instance for a containing application object.

Parameters: fragment (Fragment) – An instance of the Application class which is derived from Fragment.

add_arg(*args, **kwargs)¶

Overloaded function.

add_arg(self: holoscan.core._core.Operator, arg: holoscan.core._core.Arg) -> None

Add an argument to the component.

add_arg(self: holoscan.core._core.Operator, arg: holoscan.core._core.ArgList) -> None

Add a list of arguments to the component.

add_arg(self: holoscan.core._core.Operator, **kwargs) -> None

Add arguments to the component via Python kwargs.

add_arg(self: holoscan.core._core.Operator, arg: holoscan.core._core.Condition) -> None
add_arg(self: holoscan.core._core.Operator, arg: holoscan.core._core.Resource) -> None

Add a condition or resource to the Operator.

This can be used to add a condition or resource to an operator after it has already been constructed.

argholoscan.core.Condition or holoscan.core.Resource: The condition or resource to add.

property args¶

The list of arguments associated with the component.

arglist : holoscan.core.ArgList

compute(op_input, op_output, context)[source]¶: Performs computation for this operator and handles I/O.

compute_affine_transform(s_1, s_n, n, series)[source]¶

Computes the affine transform for this series. It does it in both DICOM Patient oriented coordinate system as well as the pne preferred by NIFTI standard. Accordingly, the two attributes dicom_affine_transform and nifti_affine_transform are stored in the series instance.

The Image Orientation Patient contains two triplets, [rx ry rz cx cy cz], which encode direction cosines of the row and column of an image slice. The Image Position Patient of the first slice in a volume, [x1 y1 z1], is the x, y, z coordinates of the upper-left corner voxel of the slice. These two parameters define the location of the slice in PCS. To determine the location of a volume, the Image Position Patient of another slice is normally needed. In practice, we tend to use the position of the last slice in a volume, [xn yn zn]. The voxel size within the slice plane, [vr vc], is stored in object Pixel Spacing.

Parameters

s_1 – A first slice in the series.
s_n – A last slice in the series.
n – A number of slices in the series.
series – An instance of DICOMSeries.

property conditions¶: Conditions associated with the operator.

convert_to_image(study_selected_series_list)[source]¶

Extracts the pixel data from a DICOM Series and other attributes to create an Image object

Return type: Optional[Image]

create_metadata(series)[source]¶

Collects all relevant metadata from the DICOM Series and creates a dictionary.

Parameters: series – An instance of DICOMSeries.
Return type: Dict
Returns: An instance of a dictionary containing metadata for the volumetric image.

create_volumetric_image(vox_data, metadata)[source]¶

Creates an instance of 3D image.

Parameters

vox_data – A numpy array representing the volumetric data.
metadata – DICOM attributes in a dictionary.

Returns

An instance of Image object.

property description¶: YAML formatted string describing the operator.

property fragment¶: The fragment (holoscan.core.Fragment) that the operator belongs to.

generate_voxel_data(series)[source]¶

Applies rescale slope and rescale intercept to the pixels.

Supports monochrome image only for now. Photometric Interpretation attribute, tag (0028,0004), is considered. Both MONOCHROME2 (IDENTITY) and MONOCHROME1 (INVERSE) result in an output image where The minimum sample value is intended to be displayed as black.

Parameters: series – DICOM Series for which the pixel data needs to be extracted.
Returns: A 3D numpy tensor representing the volumetric data.

property id¶

The identifier of the component.

The identifier is initially set to -1, and will become a valid value when the component is initialized.

With the default executor (holoscan.gxf.GXFExecutor), the identifier is set to the GXF component ID.

id : int

initialize()¶: Default implementation of initialize

property name¶: The name of the operator.

property operator_type¶

The operator type.

holoscan.core.Operator.OperatorType enum representing the type of the operator. The two types currently implemented are native and GXF.

prepare_series(series)[source]¶

Computes the slice normal for each slice and then projects the first voxel of each slice on that slice normal.

It computes the distance of that point from the origin of the patient coordinate system along the slice normal. It orders the slices in the series according to that distance.

Parameters: series – An instance of DICOMSeries.

property resources¶: Resources associated with the operator.

setup(spec)[source]¶: Default implementation of setup method.

property spec¶: The operator spec (holoscan.core.OperatorSpec) associated with the operator.

start()¶: Default implementation of start

stop()¶: Default implementation of stop

monai.deploy.operators.DICOMSeriesSelectorOperator monai.deploy.operators.DICOMTextSRWriterOperator