Gao Multi-wave Electromagnetic-Acoustic Sensing and Imaging

1. Auflage 2017
ISBN: 978-981-10-3716-0
Verlag: Springer Nature Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 169 Seiten

Reihe: Springer Theses

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 introduces several highly interesting EM-Acoustic sensing and imaging methods, which can potentially provide higher sensitivity, multi-contrast capability, and better imaging performance with less distortion. From the biomedical applications perspective, the thesis introduces useful techniques specifically designed to address selected challenging biomedical applications, delivering rich contrast, higher sensitivity and finer spatial resolution. Both phantom and ex vivo experiments are presented, and in vivo validations are progressing towards real clinical application scenarios. From the sensing and imaging system design perspective, the book proposes several promising sensing/imaging prototypes. Further, it offers concrete suggestions that could bring these systems closer to becoming 'real' products and commercialization, such as replacing costly lasers with portable laser diodes, or integrating transmitting and data recording on a single board.



Fei Gao received his B.S. degree in electrical engineering from Xi'an Jiaotong University, Xi'an, China in 2009. He received his PhD degree in electrical and electronic engineering at Nanyang Technological University in 2015. He was a postdoctoral visiting scholar at Stanford University in 2015. He is now working as a research fellow and electromagnetic-ultrasound group leader in NTU. He will join ShanghaiTech University as an Assistant Professor in early 2017. His research interests include fundamental study and system development of thermoacoustic and photoacoustic imaging modalities, circuit and system for biomedical applications. He has authored and co-authored about 50 journal and conference papers, one book chapter, and filed two patents.

Autoren/Hrsg.

Gao, Fei

Inhaltsverzeichnis

1;Supervisor’s Foreword;6
2;Parts of this thesis have been published in the following journal articles:;8
3;Acknowledgements;9
4;Contents;10
5;List of Figures;13
6;List of Tables;22
7;Summary;23
8;1 Multi-wave EM-Acoustic Introduction;25
8.1;1.1 Background;25
8.1.1;1.1.1 Single-Wave Sensing and Imaging;25
8.1.1.1;1.1.1.1 Optical Imaging;26
8.1.1.2;1.1.1.2 Microwave Imaging;26
8.1.1.3;1.1.1.3 Ultrasound Imaging;26
8.1.1.4;1.1.1.4 Other Kinds of Single-Wave Imaging;26
8.1.2;1.1.2 Multi-wave Sensing and Imaging;27
8.1.2.1;1.1.2.1 Light-Induced Thermoacoustic Imaging (Photoacoustic Imaging);27
8.1.2.2;1.1.2.2 Microwave-Induced Thermoacoustic Imaging;28
8.1.2.3;1.1.2.3 Magnetically Medicated Thermoacoustic Imaging;28
8.1.2.4;1.1.2.4 Other Kinds of Multi-wave Imaging;28
8.2;1.2 Research Motivation;28
8.3;1.3 Major Contribution;29
8.4;References;30
9;2 Multi-wave EM-Acoustic Methods;32
9.1;2.1 Circuit Modeling of EM-Acoustic Interaction;32
9.1.1;2.1.1 Motivation;33
9.1.2;2.1.2 Circuit Model of Microwave-Acoustic Interaction with Tumor Tissue;33
9.1.2.1;2.1.2.1 Microwave Scattering;34
9.1.2.2;2.1.2.2 EM Energy Absorption, Tissue Heating and Expansion;36
9.1.2.3;2.1.2.3 Tumor Vibration and Acoustic Generation;37
9.1.2.4;2.1.2.4 Acoustic Reflection;39
9.1.3;2.1.3 Characteristic Gain of Microwave-Acoustic Imaging;40
9.1.3.1;2.1.3.1 Pseudo S-parameter Extraction;40
9.1.3.2;2.1.3.2 Complete Circuit Model;42
9.1.3.3;2.1.3.3 Transducer Gain as Characteristic Gain;43
9.1.4;2.1.4 Simulation;44
9.1.5;2.1.5 Experimental Verification;48
9.1.6;2.1.6 2D Circuit Network Modeling for Heterogeneous Scenarios;51
9.1.6.1;2.1.6.1 Source Unit;51
9.1.6.2;2.1.6.2 Acoustic Channel;53
9.1.6.3;2.1.6.3 Acoustic Scatterer;54
9.1.7;2.1.7 2D Simulation Comparison;54
9.1.7.1;2.1.7.1 One Tumor Case;56
9.1.7.2;2.1.7.2 Two Tumor Case;56
9.1.7.3;2.1.7.3 Acoustic Scattering Case;56
9.1.8;2.1.8 Discussion and Conclusion;57
9.2;2.2 EM-Acoustic Phasoscopy Sensing and Imaging;60
9.2.1;2.2.1 Microwave-Acoustic Phasoscopy for Tissue Characterization;60
9.2.2;2.2.2 Photoacoustic Phasoscopy Super-Contrast Imaging;67
9.3;2.3 EM-Acoustic Resonance Effect and Characterization;71
9.3.1;2.3.1 Thermoacoustic Resonance Effect and Circuit Modeling;71
9.3.2;2.3.2 Photoacoustic Resonance Spectroscopy for Biological Tissue Characterization;78
9.4;2.4 EM-Acoustic Elastic Oscillation and Characterization;85
9.4.1;2.4.1 Introduction;85
9.4.2;2.4.2 Theory;86
9.4.3;2.4.3 Simulation and Experimental Results;90
9.4.4;2.4.4 Summary;94
9.5;2.5 Coherent EM-Acoustic Ultrasound Correlation and Imaging;94
9.5.1;2.5.1 Introduction;95
9.5.2;2.5.2 Theory;95
9.5.3;2.5.3 Experimental Setup;98
9.5.4;2.5.4 Results;100
9.5.4.1;2.5.4.1 System Evaluation;100
9.5.4.2;2.5.4.2 Signal SNR Improvement;100
9.5.4.3;2.5.4.3 Image of Vessel-Mimicking Phantom;102
9.5.4.4;2.5.4.4 Image of Vessel-Mimicking Phantom with Random Scatterer;104
9.5.4.5;2.5.4.5 Image of Vessel-Mimicking Phantom with High Resolution Ultrasound Imaging;105
9.5.5;2.5.5 Discussion and Conclusion;105
9.6;2.6 Micro-Doppler EM-Acoustic Effect and Detection;107
9.6.1;2.6.1 Introduction;107
9.6.2;2.6.2 Method and Preliminary Results;108
9.6.3;2.6.3 Discussion and Conclusion;113
9.7;References;113
10;3 Multi-wave EM-Acoustic Applications;117
10.1;3.1 Correlated Microwave-Acoustic Imaging for Breast Cancer Detection;117
10.1.1;3.1.1 Introduction;118
10.1.2;3.1.2 Theory;118
10.1.2.1;3.1.2.1 System Configuration;118
10.1.2.2;3.1.2.2 Proposed CMAI Method;120
10.1.3;3.1.3 Results;121
10.1.3.1;3.1.3.1 UWB Transmitter Design;121
10.1.3.2;3.1.3.2 Numerical Simulation;123
10.1.4;3.1.4 Conclusion;125
10.2;3.2 Single-Wavelength Blood Oxygen Saturation Detection;126
10.2.1;3.2.1 Introduction;126
10.2.2;3.2.2 Theory;128
10.2.3;3.2.3 Experimental Results;129
10.2.4;3.2.4 Discussion and Conclusion;131
10.3;3.3 Photoacoustic-Guided Depth-Resolved Raman Spectroscopy for Skin Cancer Detection;132
10.3.1;3.3.1 Theory;132
10.3.2;3.3.2 Preliminary Results;134
10.3.2.1;3.3.2.1 Phantom Preparation;134
10.3.2.2;3.3.2.2 Experimental Setup;134
10.3.2.3;3.3.2.3 Experimental Results;136
10.3.2.4;3.3.2.4 Experimental Results Using Single Laser Source;137
10.3.3;3.3.3 Discussion and Conclusion;138
10.4;3.4 Multistatic Photoacoustic Classification of Tumor Malignancy;139
10.4.1;3.4.1 Introduction;139
10.4.2;3.4.2 Methods;140
10.4.2.1;3.4.2.1 Tumor Malignancy Model;140
10.4.2.2;3.4.2.2 Photoacoustic Numerical Simulation;141
10.4.2.3;3.4.2.3 Multistatic Photoacoustic Classification;142
10.4.3;3.4.3 Simulation Results;144
10.4.3.1;3.4.3.1 Case 1: Full Field-of-View with 20 Sensors;144
10.4.3.2;3.4.3.2 Case 2: Half Field-of-View with 10 Sensors;144
10.4.3.3;3.4.3.3 Case 3: Non-centred Tumor Classification;146
10.4.4;3.4.4 Conclusion;148
10.5;References;148
11;4 Multi-wave EM-Acoustic Systems;150
11.1;4.1 NTU Photoacoustic Microscopy System for 3D Imaging;150
11.1.1;4.1.1 System Overview;150
11.1.2;4.1.2 System Specifications;152
11.1.3;4.1.3 System Operation Procedure;152
11.1.4;4.1.4 Photoacoustic Imaging in 3D: A Phantom Study;152
11.2;4.2 Multi-channel EM-Acoustic Imaging System;154
11.2.1;4.2.1 Multi-channel Microwave-Acoustic Imaging System Design;154
11.2.2;4.2.2 Multi-channel Photoacoustic Imaging Prototyping;155
11.3;4.3 Miniaturized Photoacoustic Receiver in Palm;157
11.3.1;4.3.1 Introduction;157
11.3.2;4.3.2 System Design and Development;157
11.3.3;4.3.3 Measurement Results;159
11.3.4;4.3.4 Discussion and Conclusion;161
12;5 Conclusion and Future Work;163
12.1;5.1 Conclusion;163
12.2;5.2 Future Work;164
13;Author’s Publications;166