Intro
Preface to the Second Edition
Contents
About the Editors
Part I Backscatter Coefficient Methods
1 Quantitative Ultrasound: An Emerging Technology for Detecting, Diagnosing, Imaging, Evaluating, and Monitoring Disease
1.1 Introduction
1.2 QUS Based on Spectrum Analysis and Envelope Statistics
1.2.1 Spectrum-Analysis Techniques
1.2.1.1 Spectral-Parameter Imaging
1.2.1.2 Scatterer-Property Imaging
1.2.1.3 Tissue-Type Imaging
1.2.2 Envelope-Statistics Techniques
1.3 Current and Potential Applications of QUS
1.4 Future Technological Developments

1.4.1 Advances Within Individual Emerging Ultrasound Technologies
1.4.2 Advances Among Emerging Ultrasound Technologies
1.4.3 Advances in Combinations of Ultrasonic and Other Technologies
1.5 Conclusion
References
2 Quantitative Ultrasound: Scattering Theory
2.1 Introduction
2.2 Continuum Scatterer Model
2.3 Discrete Scatterer Model
2.4 Concluding Remarks
References
3 Quantitative Ultrasound: Experimental Implementation
3.1 Introduction
3.2 The Measurement Terms
3.3 Attenuation Compensation
3.4 Calibration Approaches
3.4.1 Planar Reference

3.4.2 Reference Phantom
3.4.3 In Situ Calibration
3.4.4 Reference Free
3.5 Windowing Functions
3.6 Conclusion
References
4 Extracting Quantitative Ultrasonic Parameters from the Backscatter Coefficient
4.1 Introduction
4.2 Definitions
4.3 Model-Based BSC Parameterization
4.3.1 Assumptions and Notations
4.3.2 Relating BSC to Scattered Acoustic Pressure Field
4.3.3 Exact BSC Models from Acoustic Scattering Theory
4.3.4 Approximate BSC Models Using Born Approximation
4.3.4.1 Theoretical Framework
4.3.4.2 Correlation Coefficient Models

4.3.4.3 Rayleigh Scattering and Form Factor
4.3.4.4 Strengths and Weaknesses of Correlation Models
4.3.5 Scatterer Size Distribution
4.3.6 Structure Function Models for Dense Media
4.4 Model-Free BSC Parameterization
4.4.1 Linear Regression
4.4.2 Principal Component Analysis
Appendices
Appendix A: Matlab Code for the Anderson BSC Model
Appendix B: Matlab Code for the Concentric Spheres BSC Model
Appendix C: Matlab Code for the Monodisperse Hard Sphere SF Model
Appendix D: Matlab Code for the Polydisperse Hard Sphere SF Model
References

Part II Attenuation Estimation Methods
5 Attenuation Compensation and Estimation
5.1 Introduction
5.2 Impact of Attenuation on Backscattered Power Spectrum
5.3 Local Attenuation Estimation Algorithms
5.3.1 Spectral Shift Algorithm for Local Attenuation Estimation
5.3.2 Spectral Difference Method for Local Attenuation Estimation
5.3.3 Spectral Log Difference Method for Local Attenuation Estimation
5.3.4 Hybrid Method for Local Attenuation Estimation
5.3.5 Comparison of Spectral Difference, Spectral Log-Difference, and Hybrid Methods for Local Attenuation Estimation