Multi-wave electromagnetic-acoustic sensing and imaging

• Main Author: Gao, Fei (Author)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer, 2017.
• Series: Springer theses.
• Subjects: Acoustic imaging.; elektronické knihy; electronic books
• ISBN: 9789811037160; 9789811037153
• Physical Description: 1 online resource

This thesis covers a broad range of interdisciplinary topics concerning electromagnetic-acoustic (EM-Acoustic) sensing and imaging, mainly addressing three aspects: fundamental physics, critical biomedical applications, and sensing/imaging system design. From the fundamental physics perspective, it...

Table of Contents:

• Supervisor's Foreword; Parts of this thesis have been published in the following journal articles: ; Acknowledgements; Contents; List of Figures; List of Tables; Summary; 1 Multi-wave EM-Acoustic Introduction; 1.1 Background; 1.1.1 Single-Wave Sensing and Imaging; 1.1.1.1 Optical Imaging; 1.1.1.2 Microwave Imaging; 1.1.1.3 Ultrasound Imaging; 1.1.1.4 Other Kinds of Single-Wave Imaging; 1.1.2 Multi-wave Sensing and Imaging; 1.1.2.1 Light-Induced Thermoacoustic Imaging (Photoacoustic Imaging); 1.1.2.2 Microwave-Induced Thermoacoustic Imaging.
• 1.1.2.3 Magnetically Medicated Thermoacoustic Imaging1.1.2.4 Other Kinds of Multi-wave Imaging; 1.2 Research Motivation; 1.3 Major Contribution; References; 2 Multi-wave EM-Acoustic Methods; 2.1 Circuit Modeling of EM-Acoustic Interaction; 2.1.1 Motivation; 2.1.2 Circuit Model of Microwave-Acoustic Interaction with Tumor Tissue; 2.1.2.1 Microwave Scattering; 2.1.2.2 EM Energy Absorption, Tissue Heating and Expansion; 2.1.2.3 Tumor Vibration and Acoustic Generation; 2.1.2.4 Acoustic Reflection; 2.1.3 Characteristic Gain of Microwave-Acoustic Imaging; 2.1.3.1 Pseudo S-parameter Extraction.
• 2.1.3.2 Complete Circuit Model2.1.3.3 Transducer Gain as Characteristic Gain; 2.1.4 Simulation; 2.1.5 Experimental Verification; 2.1.6 2D Circuit Network Modeling for Heterogeneous Scenarios; 2.1.6.1 Source Unit; 2.1.6.2 Acoustic Channel; 2.1.6.3 Acoustic Scatterer; 2.1.7 2D Simulation Comparison; 2.1.7.1 One Tumor Case; 2.1.7.2 Two Tumor Case; 2.1.7.3 Acoustic Scattering Case; 2.1.8 Discussion and Conclusion; 2.2 EM-Acoustic Phasoscopy Sensing and Imaging; 2.2.1 Microwave-Acoustic Phasoscopy for Tissue Characterization; 2.2.2 Photoacoustic Phasoscopy Super-Contrast Imaging.
• 2.3 EM-Acoustic Resonance Effect and Characterization2.3.1 Thermoacoustic Resonance Effect and Circuit Modeling; 2.3.2 Photoacoustic Resonance Spectroscopy for Biological Tissue Characterization; 2.4 EM-Acoustic Elastic Oscillation and Characterization; 2.4.1 Introduction; 2.4.2 Theory; 2.4.3 Simulation and Experimental Results; 2.4.4 Summary; 2.5 Coherent EM-Acoustic Ultrasound Correlation and Imaging; 2.5.1 Introduction; 2.5.2 Theory; 2.5.3 Experimental Setup; 2.5.4 Results; 2.5.4.1 System Evaluation; 2.5.4.2 Signal SNR Improvement; 2.5.4.3 Image of Vessel-Mimicking Phantom.
• 2.5.4.4 Image of Vessel-Mimicking Phantom with Random Scatterer2.5.4.5 Image of Vessel-Mimicking Phantom with High Resolution Ultrasound Imaging; 2.5.5 Discussion and Conclusion; 2.6 Micro-Doppler EM-Acoustic Effect and Detection; 2.6.1 Introduction; 2.6.2 Method and Preliminary Results; 2.6.3 Discussion and Conclusion; References; 3 Multi-wave EM-Acoustic Applications; 3.1 Correlated Microwave-Acoustic Imaging for Breast Cancer Detection; 3.1.1 Introduction; 3.1.2 Theory; 3.1.2.1 System Configuration; 3.1.2.2 Proposed CMAI Method; 3.1.3 Results; 3.1.3.1 UWB Transmitter Design.