Photoacoustic Imaging

Photoacoustic Imaging

Theory, Implementation, and Applications

1st Edition - February 1, 2023

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  • Authors: Chulhong Kim, Junjie Yao, Lidai Wang, Manojit Pramanik, Jun Xia
  • Paperback ISBN: 9780323998970

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Description

Photoacoustic imaging has become a premier biomedical imaging modality. Photoacoustic Imaging: Theory, Implementation and Applications is the first textbook on photoacoustic imaging, covering fundamental theory, practical implementation of protocols and preclinical/clinical applications. The presentation of theory covers the mathematical derivations as well as the computational simulations. The coverage of implementation includes practical protocols to build both hardware and software systems; the photoacoustic imaging systems presented range from microscopy to tomography. The key technical challenges in terms of signal-to-noise ratios, spatial/temporal resolutions, contrasts, etc. are discussed to improve system performance. Finally, the book demonstrates preclinical and clinical applications of photoacoustic imaging. This textbook provides both a theoretical and a practical perspective of photoacoustic imaging, making it highly suitable for senior undergraduates, graduates, and PhD students in biomedical engineering, electrical engineering, mechanical engineering, computer science/ computer engineering, material science/engineering, biology, chemistry, medicine, physics, or related fields. Researchers, engineers, or scientists in industries or professional research labs who are interested in imaging and sensing could use this textbook as a self-learning practical handbook. With this textbook the reader will be able to: Demonstrate an understanding of the fundamental concepts of photoacoustic technology Employ photoacoustic simulation tools Design photoacoustic imaging systems, components, or processes to meet desired needs Apply knowledge of mathematics, science, programming, and engineering to build photoacoustic imaging systems and apply them to real-world problems Design and conduct photoacoustic imaging experiments, as well as to analyze and interpret data Identify, formulate, and solve biological and medical problems Communicate effectively by oral, written, and graphical modes

Key Features

  • Gives practical simulation protocols and codes
  • Contains practical protocols to build photoacoustic imaging systems
  • Numerous practical examples and exercises to understand the technology and challenges
  • Online downloadable materials for students and instructors

Readership

Senior undergraduate, masters, and PhD students in biomedical engineering, electrical engineering, mechanical engineering, computer science/engineering, material science/engineering, biology, chemistry, medicine, physics, or related field; Researchers, engineers, or scientists in industries or professional research labs who are interested in imaging and sensing

Table of Contents

  • Chapter 1: Introduction to Photoacoustic Imaging

    Chapter 2: Theory of Photoacoustic Imaging
    A. Photon Migration in Tissues
    i. Theory and Monte Carlo Simulation
    B. Initial Photoacoustic Pressure Rises
    i.  Theory and Matlab simulation of the mua, temperature, G parameter, volume, pressure
    C. Photoacoustic Wave Propagation and Detection
    i. Theory and K-wave Simulation

    Chapter 3: Photoacoustic Microscopy
    A. Introduction
    B. Optical-resolution Photoacoustic Microscopy
    i. Principle
    ii. System performance: SNR, penetration depth, spatial resolution, and temporal resolution
    iii. Protocols for Hardware Implementation
    iv. Applications
    v. Key Technical Challenges
    C. Acoustic-resolution Photoacoustic Microscopy
    i. Principle
    ii. System performance: SNR, penetration depth, spatial resolution, and temporal resolution
    iii. Protocols for Hardware Implementation
    iv. Applications
    v. Key Technical Challenges

    Chapter 4: Photoacoustic Computed Tomography
    A. Introduction
    B. Comparison of Various Beamforming Techniques including K-wave Simulations and Image Reconstruction Coding
    C. Linear-array based Photoacoustic Tomography
    i. Principle
    ii. System performance: SNR, penetration depth, spatial resolution, and temporal resolution
    iii. Protocols for Hardware Implementation
    iv. Applications
    v. Key Technical Challenges
    D. Hemispherical array based Photoacoustic Tomography
    i. Principle
    ii. System performance: SNR, penetration depth, spatial resolution, and temporal resolution
    iii. Protocols for Hardware Implementation
    iv. Multiparametric Contrasts and F,Applications
    v. Key Technical Challenges
    E. Arc- or Circular Array based Photoacoustic Tomography
    i. Principle
    ii. System performance: SNR, penetration depth, spatial resolution, and temporal resolution
    iii. Protocols for Hardware Implementation
    iv. Applications
    v. Key Technical Challenges
    F.          Artificial Intelligenece Powered Image Reconstruction and Enhancement

    Chapter 5: Photoacoustic Catheter, Endoscopy, and Wearable Device
    A. Introduction
    B. Photoacoustic Catheter and Endoscopy
    i. Principle
    ii. System performance: SNR, penetration depth, spatial resolution, and temporal resolution
    iii. Protocols for Hardware Implementation
    iv. Applications
    v. Key Technical Challenges
    C. Photoacoustic Wearable Device
    i. Principle
    ii. System performance: SNR, penetration depth, spatial resolution, and temporal resolution
    iii. Protocols for Hardware Implementation
    iv. Applications
    v. Key Technical Challenges

    Chapter 6: Multiparametric Contrasts in Photoacoustic Imaging
    A. Direct imaging contrast from optical absorption
    i. Endogenous contrasts
    ii. Exogenous contrasts
    B. Functional, Metabolic, and Molecular Contrast Derived from Optical Absorption
    C. Thermometry
    D. Rational or switchable contrast

Product details

  • No. of pages: 300
  • Language: English
  • Copyright: © Academic Press 2023
  • Published: February 1, 2023
  • Imprint: Academic Press
  • Paperback ISBN: 9780323998970

About the Authors

Chulhong Kim

Dr. Chulhong Kim studied for his Ph.D. degree and postdoctoral training under Prof. Lihong Wang at Washington University in St. Louis. He currently holds Mueunjae Chair Professorship of Electrical Engineering, Convergence IT Engineering, and Mechanical Engineering at Pohang University of Science and Technology in Republic of Korea. He is the Director of Medical Device Innovation Center at POSTEH supported by Ministry of Education. He is also the Chief Executive Officer of Opticho Inc., a spinoff company to commercialize the preclinical and clinical photoacoustic imaging systems. He was the recipients of the 2020-2021 IEEE EMBS Distinguished Lecturer, the 2017 IEEE EMBS Early Career Achievement Award, the 2017 KAST Young Scientist Award, the 2016 Nightingale Award from IFMBE, etc. He has published 156 peer-reviewed journal articles (Nat. Nanotech., Nat. Mat., PNAS, Light Science & Applications, Cancer Research, Radiology, IEEE T. Medical Imaging, etc). His Google Scholar h-index and citations have reached 54 and over 11,000, respectively. His group’s works have been selected for the 2016, 2017, and 2019 Seno Medical Best Paper Award Finalists in Photons Plus Ultrasound Conference (Photonics West, SPIE), the 2020 Hitachi High-tech Best Presentation Award in High Speed Imaging and Spectroscopy Conference (Photonics West, SPIE), the 2020 Microscopy Today Innovation Award, and 2020 Industry-Academia Project Challenge Award. He has currently served as a Section Editor of Photoacoustics Journal (premier journal in the field, IF: 5.87), an Associate Editor of IEEE Transactions on Medical Imaging, a Topical Editor of IEEE ACCESS, and an Editorial Board Member of Scientific Reports, Applied Science, Sensors, etc. He is also elected as a member of Young Korean Academy of Science and Technology (Y-KAST). He is a Fellow of the SPIE.

Affiliations and Expertise

Mueunjae Chair Professorship, Electrical Engineering, Convergence IT Engineering, and Mechanical Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk Province, Republic of Korea

Junjie Yao

Dr. Junjie Yao PhD is currently Assistant Professor at the Department of Biomedical Engineering at Duke University, and a faculty member of Duke Center for In Vivo Microscopy, Duke Cancer Institute, Duke Institute of Brain Sciences, and Fitzpatrick Institute for Photonics. Dr. Yao received his B.S. (2006) and M.S. (2008) degrees in Biomedical Engineering from Tsinghua University (Beijing, China), and his Ph.D. degree in Biomedical Engineering at Washington University in St. Louis in 2013 under the mentoring of Dr. Lihong V. Wang. Dr. Yao is the receipt of the 2019 IEEE Photonic Society Young Investigator Award, and 2021 National Jewish Fund Faculty Fellowship. He serves on the editorial board in Scientific Reports, Quantitative Imaging in Medicine and Surgery, Journal of Photoacoustics and Near-infrared and Laser Engineering. Dr. Yao has published more than 100 articles in peer-reviewed journals such as Nature Biotechnology, Nature Methods, Nature Medicine, Nature Biomedical Engineering, Nature Photonics, Nature Communication, PNAS, Optica, and PRL. Dr. Yao’s research interest is in photoacoustic tomography (PAT) technologies in life sciences, especially in high-speed functional brain imaging and early-stage cancer detection. Dr. Yao has received more than 8 millions USD research funds from various agencies including NIH, AHA, and CZI. More information about Dr. Yao’s research at http://photoacoustics.pratt.duke.edu/

Affiliations and Expertise

Assistant Professor, Department of Biomedical Engineering, Durham, NC, USA

Lidai Wang

Lidai Wang received the B.Sc. and M.A.Sc. degrees in Precision Instruments from the Tsinghua University, Beijing, China, and the Ph.D. degree in Mechanical Engineering from the University of Toronto, Ontario, Canada. He worked as a postdoctoral research fellow at the Washington University in St. Louis. Since 2015, he has been working as an Assistant/Associate Professor in the Department of Biomedical Engineering at the City University of Hong Kong. His recent research interests include photoacoustic imaging, ultrafast photography, wavefront engineering, and computational optics. He is the co-inventor of six patents and has published more than 60 papers in peer-reviewed journals.

Affiliations and Expertise

Associate Professor, Department of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong

Manojit Pramanik

Associate Professor Manojit Pramanik received his Ph.D. degree (2010) in Biomedical Engineering from Washington University in St. Louis, St. Louis. He joined the School of Chemical and Biomedical Engineering (SCBE) at Nanyang Technological University (NTU), Singapore in 2014. His industry experiences include two years at General Electric Global Research (GRC), Bangalore, India and one year at Philips Medical System, Bangalore, India. His research interest include development of photoacoustic imaging systems, image reconstruction methods, machine learning for photoacoustic imaging, clinical application areas such as breast cancer imaging, molecular imaging, contrast agent development, monte-carlo simulation for light transport in biological tissue etc. He has more than 200 international journal and conference publications and presentations. He serves as the Editorial Board Member of the Journal of Biomedical Optics, Photoacoustics. Dr. Pramanik is also the inaugural “Biodesign Faculty Fellow” offered by the Singapore Biodesign Programme.

Affiliations and Expertise

Associate Professor, School of Chemical and Biomedical Engineering, Nanyang Technological University, Jurong West, Singapore

Jun Xia

Dr. Jun Xia received his B.S. in Applied Physics in 2004 from the University of Science and Technology of China and Ph.D. in Mechanical Engineering in 2010 from the University of Toronto. After post-doc training in Biomedical Engineering at the Washington University in St. Louis, he joined the Department of Biomedical Engineering at the University at Buffalo as an Assistant Professor. He was promoted to Associate Professor in 2020. Dr. Xia’s lab has received support from NIH, NSF, Susan G. Komen foundation, New York State, and industries. He has published three book chapters and more than seventy papers in peer-reviewed journals in various areas of photothermal and photoacoustic research.

Affiliations and Expertise

Associate Professor, Department of Biomedical Engineering, University at Buffalo, Buffalo, NY, USA

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