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Terahertz Imaging for Biomedical Applications

Pattern Recognition and Tomographic Reconstruction

  • Book
  • © 2012

Overview

Authors:
  1. Xiaoxia Yin

    1. , School of Electrical & Electronic Engine, University of Adelaide, Adelaide, Australia

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  2. Brian W.-H. Ng

    1. , School of Electrical & Electronics Engin, University of Adelaide, Adelaide, Australia

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    You can also search for this author in PubMed   Google Scholar

  3. Derek Abbott

    1. , School of Electrical & Electronics, University of Adelaide, Adelaide, Australia

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  • Introduces terahertz radiation techniques and provides a number of topical examples of signal and image processing, as well as machine learning

  • Presents the most recent developments in an emerging field, terahertz radiation

  • Utilizes new methods of digital imaging that would be useful in medical screening, diagnosis, and treatment

  • Includes supplementary material: sn.pub/extras

  • Includes supplementary material: sn.pub/extras

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xv
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  2. Introduction and Motivation to Terahertz Radiation

    • Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott
    Pages 1-7

  3. Terahertz Sources and Detectors

    • Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott
    Pages 9-26

  4. Terahertz Imaging Modes

    • Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott
    Pages 27-44

  5. Terahertz Imaging Analysis

    • Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott
    Pages 45-63

  6. Pattern Formation and Recognition Using T-Rays

    • Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott
    Pages 65-71

  7. Wavelet Transforms

    • Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott
    Pages 73-94

  8. Feature Extraction and Selection

    • Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott
    Pages 95-118

  9. Pattern Classification

    • Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott
    Pages 119-131

  10. THz Pattern Recognition Experiments

    • Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott
    Pages 133-177

  11. Terahertz Computed Tomography

    • Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott
    Pages 179-189

  12. 2D Wavelet Segmentation in 3D T-Ray CT

    • Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott
    Pages 191-199

  13. Wavelet-Based Terahertz Coherent Local Tomography

    • Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott
    Pages 201-220

  14. Local CT Using a THz QCL

    • Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott
    Pages 221-244

  15. Conclusions and Outlook

    • Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott
    Pages 245-249

  16. Back Matter

    Pages 251-315
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About this book

Terahertz biomedical imaging has become an area of interest due to its ability to simultaneously acquire both image and spectral information. Terahertz imaging systems are being commercialized, with increasing trials performed in a biomedical setting. As a result, advanced digital image processing algorithms are needed to assist screening, diagnosis, and treatment. "Pattern Recognition and Tomographic Reconstruction" presents these necessary algorithms, which will play a critical role in the accurate detection of abnormalities present in biomedical imaging. Terhazertz tomographic imaging and detection technology contributes to the ability to identify opaque objects with clear boundaries, and would be useful to both in vivo and ex vivo environments, making this book a must-read for anyone in the field of biomedical engineering and digital imaging.

Authors and Affiliations

  • , School of Electrical & Electronic Engine, University of Adelaide, Adelaide, Australia

    Xiaoxia Yin

  • , School of Electrical & Electronics Engin, University of Adelaide, Adelaide, Australia

    Brian W.-H. Ng

  • , School of Electrical & Electronics, University of Adelaide, Adelaide, Australia

    Derek Abbott

Bibliographic Information

  • Book Title: Terahertz Imaging for Biomedical Applications

  • Book Subtitle: Pattern Recognition and Tomographic Reconstruction

  • Authors: Xiaoxia Yin, Brian W.-H. Ng, Derek Abbott

  • DOI: https://doi.org/10.1007/978-1-4614-1821-4

  • Publisher: Springer New York, NY

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Science+Business Media, LLC 2012

  • Hardcover ISBN: 978-1-4614-1820-7Published: 23 March 2012

  • Softcover ISBN: 978-1-4899-9154-6Published: 16 April 2014

  • eBook ISBN: 978-1-4614-1821-4Published: 20 March 2012

  • Edition Number: 1

  • Number of Pages: XVI, 316

  • Topics: Signal, Image and Speech Processing, Biomedical Engineering and Bioengineering, Pattern Recognition

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