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Structural and radiometric asymmetry in brain images
Sarang Joshi1, Peter Lorenzen, Guido Gerig
1The University of North Carolina at Chapel Hill, Medical Image Display Analysis Group, CB#3175, Sitterson Hall, Chapel Hill, NC 27599-3175, USA.
Medical Image Analysis
|July 19, 2003
Summary
This study introduces a novel framework to detect brain tumors by analyzing structural and radiometric asymmetry in MRI scans. The method efficiently identifies asymmetries indicative of both mass-effect and infiltrating tumors.
Area of Science:
- Medical Imaging
- Neuroscience
- Computational Biology
Background:
- Healthy brain hemispheres exhibit near-perfect symmetry across the mid-sagittal plane.
- Brain tumors, whether mass-effect or infiltrating, disrupt this symmetry.
- Asymmetries in brain structure and image intensity (radiometry) are key indicators of tumor presence.
Purpose of the Study:
- To develop a general framework for analyzing structural and radiometric asymmetry in brain images.
- To create an efficient algorithm for the joint estimation of these asymmetries.
- To aid in the detection of brain tumors using MRI.
Main Methods:
- Image registration with mid-sagittal plane reflections.
- Large deformation image warping to account for tissue displacement.
- An additive intensity field to address radiometric differences.
- A multi-scale algorithm for joint asymmetry estimation.
Main Results:
- The framework successfully analyzes structural and radiometric asymmetries.
- Demonstrated effectiveness in identifying tumor-related asymmetries in MR images.
- Results presented for nine patient cases with tumors and four healthy controls.
Conclusions:
- Structural and radiometric asymmetry analysis provides crucial cues for brain tumor detection.
- The developed framework offers an efficient method for joint asymmetry estimation.
- This approach holds potential for improving diagnostic accuracy in neuroimaging.