Difference between revisions of "Modules:N3MRIBiasFieldCorrection"

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===Module Description===
 
===Module Description===
This module applies a bias field correction to an MRI image based on the method 'Non-parametric Non-uniform Intensity Normalization' (N3) described by Sled et al in IEEE TMI 1998.
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This module corrects the intensity inhomogeneity in a MRI image.
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This filtering operation is important as a pre-processing step for many segmentation algorithms.
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The module can process 2D and 3D images and can show the bias field that has been estimated.
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Parameters:
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* <b>Iterations:</b> Increase the number of iterations for a better estimation of the bias field.
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* <b>Fitting Levels:</b> A higher fitting level might improve the bias field correction at the cost of a longer processing time.
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Caveat: For large values of the parameters, the processing time on large images can reach one hour.
  
 
===References===
 
===References===

Latest revision as of 03:14, 6 June 2009

Home < Modules:N3MRIBiasFieldCorrection

N3 MRI Bias Field Correction

Screenshot before applying N3 MRI Bias Field Correction
File:N3 MRI Bias Field Correction after.png
Screenshot after applying N3 MRI Bias Field Correction

General Information

Module Type & Category

Type: CLI

Category: Filtering

Authors, Collaborators & Contact

  • Author: Nicolas Rannou, Sylvain Jaume
  • Contact: nrannou at bwh.harvard.edu, sylvain at csail.mit.edu

Module Description

This module corrects the intensity inhomogeneity in a MRI image. This filtering operation is important as a pre-processing step for many segmentation algorithms. The module can process 2D and 3D images and can show the bias field that has been estimated. Parameters:

  • Iterations: Increase the number of iterations for a better estimation of the bias field.
  • Fitting Levels: A higher fitting level might improve the bias field correction at the cost of a longer processing time.

Caveat: For large values of the parameters, the processing time on large images can reach one hour.

References

  • A non-parametric method for automatic correction of intensity non-uniformity in MRI data, J.G. Sled, A.P. Zijdenbos, and A.C. Evans, IEEE Transactions on Medical Imaging, vol.17, pp.87-97, February 1998.
  • A comparison of retrospective intensity non-uniformity correction methods for MRI, J.G. Sled, A.P. Zijdenbos, and A.C. Evans, Information Processing in Medical Imaging, pp.459-464, 1997.
  • A non-parametric method for automatic correction of intensity non-uniformity in MRI data, J.G. Sled, Master's thesis, McGill University, Montreal, QC, May 1997.