Documentation/4.0/Modules/N4ITKBiasFieldCorrection

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Home < Documentation < 4.0 < Modules < N4ITKBiasFieldCorrection


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. The development of this module was supported in part by NIH grants R01 AA016748-01, R01 CA111288 .... check grants.
  • Authors: Nick Tustison (N4ITK filters), Ron Kikinis (PI + design and inspiration), Andrey Fedorov (design, ITK filter modifications, 3D Slicer module)
  • Contact: Andrey Fedorov, <email>fedorov@bwh.harvard.edu</email>
Template:Documentation/4.0/module-introduction-logoTemplate:Documentation/4.0/module-introduction-logo

Module Description

Prostate erMRI
After bias correction
Before - After subtract image
Recovered bias field

Template:Documentation/4.0/module-cli-description

Use Cases

Most frequently used for these scenarios:

  • Use Case 1: Preprocessing to compensate for inhomogeneous coil reception profile in MR images
    • before segmenting an inherently homogeneous structure
    • before registration

Tutorials

Links to tutorials that use this module

Panels

Template:Documentation/4.0/module-cli-parametersdescription

Panels

  • Point to other modules that have similar functionality

References

Publications related to this module go here. Links to pdfs would be useful. For extensions: link to the source code repository and additional documentation

Information for Developers