AccumulateImage

MLModule

genre	Resample
author	MeVis Medical Solutions AG
package	MeVisLab/Standard
dll	MLResample1
definition	MLResample1.def
see also	MPR, MPRPath, Reformat

Purpose

The AccumulateImage allows for accumulating/resampling multiple images into a global reference volume. The reference volume can be an existing dataset, or it can be created from multiple volumes/slices using, e.g., CreateBoundingVolume.

Intersecting volumes are combined using either maximum intensity or weighted averaging.

Details

The module supports all default data types, but MAXIMUM is not supported on data types with multiple components. In the case of multiple components, the MAXIMUM mode falls back to overwrite, so that the last value that is written to a voxel will win.

The weighted averaging mode uses a double precision accumulation buffer for all scalar types. For data types with multiple components, the data type itself is used in the accumulation buffer.

Input Fields

input0

name: input0, type: Image

The image that should be added.

input1

name: input1, type: Image

The reference image. Only the image properties are used, the image data is never requested.

Output Fields

output0

name: output0, type: Image

The accumulated image.

output1

name: output1, type: Image

Summed weights

Parameter Fields

Field Index

Accumulation Mode: Enum

Add: Trigger

Border Handling: Enum

Clear: Trigger

Interpolation: Enum

Visible Fields

Clear

name: clear, type: Trigger

When pressed, the accumulated image and all buffers are cleared.

Add

name: add, type: Trigger

When pressed, the input0 image is added to the accumulated image.

Accumulation Mode

name: accumulationMode, type: Enum, default: Maximum

Defines how volumes are accumulated.

Values:

Title	Name	Description
Maximum	Maximum	Accumulate with maximum intensity operator. The background is filled with the reference image’s minimum value.
Weighted Average	WeightedAverage	Calculate the weighted average of the intensity values. The weight is interpolated from 0-1 at the border of each volume, it is 0 outside the volume and 1 inside the volume. On the border of a volume, the weight is interpolated from 0-1. If weighted averaging is turned on, the second output of the image gives the sum of the weights, which can be used for masking or other purposes.
Minimum	Minimum	Accumulate with minimum intensity operator. The background is filled with the reference image’s maximum value.
Replace	Replace	Accumulate with replace intensity operator. The background is filled with the reference image’s minimum value.

Interpolation

name: interpolation, type: Enum, default: Trilinear

See MPR.interpolation.

Values:

Title	Name
Nearest Neighbor	NearestNeighbor
Trilinear	Trilinear

Border Handling

name: borderHandling, type: Enum, default: UseFillValue

See MPR.borderHandling.

Values:

Title	Name
Clamp To Edge	ClampToEdge
Use Fill Value	UseFillValue