Difference between revisions of "Modules:N3MRIBiasFieldCorrection"
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Sylvainjaume (talk | contribs) (New page: == General Information == ===Module Type & Category=== Type: CLI Category: Filtering ===Authors, Collaborators & Contact=== * Author: Nicolas Rannou, Sylvain Jaume * Contact: nrannou at...) |
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| + | ==N3 MRI Bias Field Correction== | ||
| + | |||
| + | {| | ||
| + | |[[Image:N3_MRI_Bias_Field_Correction_before.png|thumb|280px|Screenshot before applying N3 MRI Bias Field Correction]] | ||
| + | |[[Image:N3_MRI_Bias_Field_Correction_after.png|thumb|280px|Screenshot after applying N3 MRI Bias Field Correction]] | ||
| + | |} | ||
| + | |||
== General Information == | == General Information == | ||
===Module Type & Category=== | ===Module Type & Category=== | ||
| Line 11: | Line 18: | ||
===Module Description=== | ===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: | ||
| + | * <b>Iterations:</b> Increase the number of iterations for a better estimation of the bias field. | ||
| + | * <b>Fitting Levels:</b> 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. | ||
Latest revision as of 03:14, 6 June 2009
Home < Modules:N3MRIBiasFieldCorrectionContents
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.
