LED-based photoacoustic imaging : from bench to bedside
著者
書誌事項
LED-based photoacoustic imaging : from bench to bedside
（Progress in optical science and photonics / series editor, Javid Atai, v. 7）
Springer, c2020
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注記
Includes bibliographical references
内容説明・目次
内容説明
This book highlights the use of LEDs in biomedical photoacoustic imaging. In chapters written by key opinion leaders in the field, it covers a broad range of topics, including fundamentals, principles, instrumentation, image reconstruction and data/image processing methods, preclinical and clinical applications of LED-based photoacoustic imaging. Apart from preclinical imaging studies and early clinical pilot studies using LED-based photoacoustics, the book includes a chapter exploring the opportunities and challenges of clinical translation from an industry perspective. Given its scope, the book will appeal to scientists and engineers in academia and industry, as well as medical experts interested in the clinical applications of photoacoustic imaging.
目次
1. Light emitting diodes, an alternative excitation source for photoacoustic imaging (Thomas Allen, Paul Beard et al , UCL, United Kingdom)
2. LED-based Photoacoustic imaging in imaging human inflammatory arthritis (Xueding Wang et al, Michigan University, USA)
3. LED-based photoacoustic evaluation method for Port-wine Stain and its curative effect - clinical pilot study (Qian Cheng et al, Tongji University, China)
4. LED-based photoacoustics - portable and affordable solution for functional preclinical imaging (Srivalleesha Mallidi et al, Harvard Medical School/Tufts University, USA)
5. LED-based photoacoustic imaging of human peripheral vasculature and minimally invasive devices (Adrien Desjardins et al, UCL, United Kingdom)
6. Structural , functional and molecular imaging capabilities of a dual-mode LED-based photoacoustic and ultrasound imaging system (Sri-Rajasekhar Kothapalli et al, The Pennsylvania State University, USA)
7. Democratizing LED-based photoacoustic imaging using adaptive beamforming and deep convolutional neural network (Haichong Zhang, Emad Boctor et al, Worcester Polytechnic Institute/ Johns Hopkins University, USA)
8. Potential of LED-based photoacoustic imaging in guiding lymphaticovenous anastomosis : A human volunteer study ( Mithun Kuniyil Ajith Singh et al, CYBERDYNE, INC, The Netherlands / Saga University Hospital, Japan)
9. Data structure assisted accelerated reconstruction strategy for handheld photoacoustic imaging (Samir Kumar Biswas et al, IISER Mohali, India)
10. Deep low-energy handheld photoacoustic imaging via extensive motion-compensated averaging (Michael Jaeger, Martin Frenz et al, University of Bern, Switzerland)
11. Deep learning for image processing and reconstruction to enhance SNR of LED based photoacoustic imaging (Kathyayini Sivasubramanian et al, Stanford University, USA)
12. Multiscale signal processing methods for improving image reconstruction and visual quality in LED based photoacoustic systems (Kausik Basak and Subhamoy Mandal, IIT Kharagpur, India/ DFKZ, Heidelberg, Germany)
13. Clinical translation of photoacoustic imaging - opportunities and challenges from an industry perspective (Mithun Kuniyil Ajith Singh et al, CYBERDYNE INC, The Netherlands)
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