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_aTA1770 _b.G364 2017 EB |
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| 100 | 1 |
_aGao, Fei, _eautor |
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| 245 | 1 | 0 |
_aMulti-wave electromagnetic-acoustic sensing and imaging _cFei Gao. |
| 264 | 1 |
_aSingapore _bSpringer _c2017 |
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| 300 | _a1 recurso en línea | ||
| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 0 | _aSpringer theses | |
| 500 | _a"Doctoral thesis accepted by Nanyang Technological University, Singapore." | ||
| 500 |
_aSpringerLink _bSpringer Engineering eBooks 2017 English+International |
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| 504 | _aIncluye referencias bibliográficas | ||
| 505 | 0 | _aSupervisor'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. | |
| 505 | 8 | _a1.1.2.3 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. | |
| 505 | 8 | _a2.1.3.2 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. | |
| 505 | 8 | _a2.3 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. | |
| 505 | 8 | _a2.5.4.4 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. | |
| 520 | 3 | _aThis 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. | |
| 650 | 7 |
_aPercepción auditiva _2embne _0(OCoLC)fst00795905 _0 _9144187 |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-981-10-3716-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 988 | _aEBOOK, asignarmaterias, EBSPRINGER_2017B | ||
| 998 |
_b02/2018 _dz _e- _zSI |
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| 999 |
_c95336 _d95336 _x1 |
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