Modules:SubtractImages-Documentation-3.6
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Module Name
Filtering:Subtract
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
- Documentation: Harini Veeraraghavan
- Contact: veerarag at ge.com
Module Description
The module performs pixel-wise subtraction of images. The module automatically handles images of different resolution. The module supports operations on input images of any data type.
Usage
Load the input images. The default setting of the input parameter Interpolation Order is 1. The Interpolation Order is relevant only for rescaling one of the input images in the case when the two input images are not of the same size.
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(images), and the specification of an output volume(image). The module produces the output volume(image) of the same size as the first input.
- "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 re-scaling it to the same size as the first input image. The default setting is 1.
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:
Test Code:
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.
