Introduction and Acknowledgements
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website.
Masks two images. The output image is set to 0 everywhere except where the chosen label from the mask volume is present, at which point it will retain it's original values. Although all image types are supported on input, only signed types are produced. The two images do not have to have the same dimensions.
Most frequently used for these scenarios:
- Use Case 1: Extracting the region or structures of interest using the mask.
Examples of the module in use:
- Recovering the bone structures using a mask on CT images
Panels and their use
- Brains module Foreground Masking
Information for Developers
|Section under construction.|