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Medical Image Analysis Using AM-FM Models and Methods
IEEE Reviews in Biomedical Engineering
|January 25, 2020
Summary
Amplitude Modulation-Frequency Modulation (AM-FM) models offer effective medical image representations for distinguishing lesions and normal structures. These models provide physically meaningful descriptors, simplifying analysis and enabling accurate classification in various medical imaging applications.
Area of Science:
- Medical Image Analysis
- Signal Processing
- Biomedical Engineering
Background:
- Effective representations are crucial for medical image analysis to differentiate between lesions, diseased regions, and normal structures.
- Traditional methods may struggle with complex, non-stationary structures common in medical imaging.
Purpose of the Study:
- To provide an overview of Amplitude Modulation-Frequency Modulation (AM-FM) models and their applications in medical image analysis.
- To highlight the utility of AM-FM representations for differentiating various tissue types and abnormalities.
Main Methods:
- Decomposition of medical images into AM-FM components.
- Utilizing instantaneous frequency for local texture description.
- Employing instantaneous amplitude for brightness variations and instantaneous phase for location description.
Main Results:
- AM-FM models provide physically meaningful descriptors for complex non-stationary structures.
- These representations effectively differentiate between lesions and normal structures.
- AM-FM features enable simple classifiers to learn from a reduced set of parameters.
Conclusions:
- AM-FM models offer a powerful and efficient approach for medical image analysis.
- Their physically meaningful descriptors facilitate accurate differentiation of pathologies.
- Emerging trends suggest continued advancements and broader applications in the future.
