Modules:N3MRIBiasFieldCorrection
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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.