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Intensity non-uniformity correction in MRI: existing methods and their validation.
Boubakeur Belaroussi1, Julien Milles, Sabin Carme
1CREATIS, UMR CNRS 5515, INSERM U 630, INSA Lyon, Bât. Blaise Pascal, 69621 Villeurbanne Cedex, France. boubakeur.belaroussi@creatis.insa-lyon.fr
Medical Image Analysis
|November 26, 2005
Summary
This paper reviews methods for correcting intensity non-uniformity artifacts in magnetic resonance imaging (MRI). It categorizes these techniques and discusses their validation and usability for improved automated MRI data analysis.
Area of Science:
- Medical Imaging
- Image Processing
Background:
- Magnetic Resonance Imaging (MRI) is a vital non-invasive imaging technique.
- Automated analysis of MRI data is essential due to large data volumes.
- Intensity non-uniformity is a common artifact degrading MRI data quality.
Purpose of the Study:
- To provide a comprehensive overview of existing methods for correcting intensity non-uniformity in MRI.
- To categorize these correction methods based on their position in the imaging pipeline and underlying assumptions.
- To discuss validation protocols and the availability/usability of these techniques.
Main Methods:
- Literature review and categorization of intensity non-uniformity correction methods.
- Classification based on pipeline integration (acquisition/processing).
- Refinement of classification based on method assumptions.
Main Results:
- Methods are sorted by pipeline stage and underlying assumptions.
- Validation strategies (qualitative and quantitative) are presented.
- Discussion on the practical aspects of method availability and usability.
Conclusions:
- A structured overview of MRI intensity non-uniformity correction methods is provided.
- Understanding method categorization and validation is crucial for selecting appropriate techniques.
- The review aids in choosing effective solutions for enhancing MRI data quality and automated analysis.