Modules:SubtractImages-Documentation-3.6

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Gallery of New Features

Module Name

Filtering:Subtract

Screenshot of the module depicts the inputs, outputs, and parameters

Example input mask (1) along with the original image

Example input mask (2) along with the original image

Output of subtracting mask (1) and mask (2)

General Information

Module Type & Category

Type: CLI

Category: Base or (Filtering, Registration, etc.)

Authors, Collaborators & Contact

• Author: Bill Lorensen
• Contact: bill.lorensen at gmail.com

Module Description

The module performs pixel-wise subtraction. The module provides support for rescaling the images such that their sizes match, but does not register the images with respect to one another. Hence, for accurate results, its best to make sure that the input images have the same size. The module supports operations on inputs of any type. However, it produces only signed output types.

Usage

Load the input volumes. The default setting of the interpolation order should work fine. Its best to use the input volumes of the same size as the module does pixel-wise additions.

Examples, Use Cases & Tutorials

This module can be used for the following:

• Producing intermediate results that can then be plugged as inputs to other filters and modules.
• Compare the results produced by two different algorithms. The example depicted on this page shows the subtraction performed on two different segmentation masks. The segmentation masks were produced by two different algorithms.
• Additionally, this module can also be used to directly visualize the results of segmentation compared with a ground truth mask.

Quick Tour of Features and Use

• "Inputs/Outputs:" This module requires two input volumes, and the specification of an output volume. The module produces the output volume of the same size as the first input volume.
• "Parameters:" The module uses one parameter Interpolation Order. The interpolation order sets the degree of B-spline interpolation to be performed on the second input image for resampling it to the same size as the first input image. The default setting is 1. In general, if the input and output images are of the same size, this parameter can be left at the default setting.

Development

Dependencies

The module uses the ITK filters.

Known bugs

Follow this link to the Slicer3 bug tracker.

Usability issues

Follow this link to the Slicer3 bug tracker. Please select the usability issue category when browsing or contributing.

Source code & documentation

Source Code: [1]

Documentation:

More Information

Acknowledgment

This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on the National Centers for Biomedical Computing can be obtained from National Centers for Biomedical Computing.