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Texture Analysis and Its Applications in Biomedical Imaging: A Survey.
IEEE Reviews in Biomedical Engineering
|September 27, 2021
Summary
Texture analysis quantifies image patterns and intensity variations. This survey highlights its methods and applications, particularly in biomedical imaging for disease detection and monitoring.
Area of Science:
- Medical Imaging
- Image Analysis
- Biomedical Engineering
Background:
- Texture analysis encompasses diverse image analysis techniques quantifying intensity and pattern variations.
- Over five decades of research have advanced texture analysis methods.
- Applications span various fields, with a significant focus on biomedical image analysis.
Purpose of the Study:
- To provide a comprehensive overview of texture analysis approaches.
- To categorize and detail the evolution of texture analysis research.
- To emphasize the role of texture analysis in biomedical applications for disease identification.
Main Methods:
- Literature review and categorization of texture analysis techniques.
- Analysis of the rationale, advantages, and drawbacks of different methods.
- Compilation of application examples, with a focus on the biomedical domain.
Main Results:
- A structured overview of numerous texture analysis methods.
- Identification of key applications in biomedical image analysis.
- A curated list of tissues and organs where texture changes indicate disease.
Conclusions:
- Texture analysis is a valuable tool for quantifying image characteristics.
- Its application in biomedical imaging aids in disease detection and progression monitoring.
- Texture analysis methods serve as crucial biomarkers for various disorders.
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