SignedEuclideanDistanceTransform

MacroModule

genre	Distance
author	MeVis Medical Solutions AG
package	MeVisLab/Standard
definition	SignedEuclideanDistanceTransform.def

Purpose

The SignedEuclideanDistanceTransform module provides a signed distance image defined by the distance to the foreground object surface. Positions inside of the object have negative distances and outside positions positive distances.

Internally, the module uses either the fast computation with one EuclideanDistanceTransform module or two EuclideanDistanceTransform modules. This depends on the selected Distance Mode. The mode ForegoundVoxelCenterFast always uses one EuclideanDistanceTransform module, whereas with ForegroundVoxelCenter or ForegroundVoxelBorder mode, two of those modules are used. Independent of the chosen mode, the result is always an object with negative values inside and positive values on the outside. The results of ForegroundVoxelCenter and ForegroundVoxelCenterFast are equal.

Windows

Default Panel

Parameter Fields

Field Index

Clear: Trigger

Dimension: Enum

Distance Mode: Enum

Max Value: Double

Min Value: Double

Update: Trigger

Visible Fields

Min Value

name: minValue, type: Double, default: 1

Sets the minimum value of the foreground object.

Max Value

name: maxValue, type: Double, default: 1

Sets the maximum value of the foreground object.

Update

name: update, type: Trigger

When pressed, the output volume is updated.

Clear

name: clear, type: Trigger

When pressed, the output volume is cleared.

Distance Mode

name: distanceMode, type: Enum, default: ForegroundVoxelCenter

Defines the distance calculation mode.

Values:

Title	Name	Description
​Center	​ForegroundVoxelCenter	​Distance is calculated from the center of the foreground object voxels. Foreground border voxels have a distance of 0 in the distance image. The border voxels are connected with a connectivity of 18.
​Border	​ForegroundVoxelBorder	​Distance is calculated from the border of the foreground object voxels. Foreground border voxels have a negative distance of half a voxel in the distance image.
​Center Fast	​ForegroundVoxelCenterFast	​Distance is calculated from the center of the foreground object voxels. Foreground border voxels have a distance of 0 in the distance image. The border voxels are connected with a connectivity of 18. This uses a faster approach than ForegroundVoxelCenter.

Dimension

name: dimension, type: Enum, default: 3D

Defines the dimensions considered for calculation of the Euclidean distance

Values:

Title	Name	Description
​2d	​2D	​Euclidean distance is calculated in 2D.
​3d	​3D	​Euclidean distance is calculated in 3D.