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.