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The Handbook of Medical Image Perception and Techniques

2nd Edition

$124.00 USD

Ehsan Samei, Elizabeth Krupinski, Harold Kundel, Calvin Nodine, Arthur Burgess, Robert Wagner, David Manning, Kevib Berbaum, Edmund Franken, Robert Caldwell, Kevin Schartz, Mark Madsen, Calvin F. Nodine, Claudia Mello-Thoms, Jeremy M. Wolfe, Karla K. Evans, Trafton Drew, Justin Solomon, Robert Saunders, Jr, Georgia Tourassi, Stephen L. Hillis, Tamara Miner Haygood, Craig K. Abbey, Miguel P. Eckstein, Matthew A. Kupinski, Lucretiu M. Popescu, Geoffrey D. Rubin, Lauren H. Williams, Yan Chen, Alastair Gale, Patrick Brennan, Lee Warwick, Kriscia Tapia, Maryellen Giger, Weijie Chen, Yulei Jiang, Berkman Sahiner, Nicholas Petrick, Daniel C. Sullivan, Edward F. Jackson, Jeffrey H. Siewerdsen, Alisa Walz-Flannigan, Scott Stekel, Mark Mcentee, Rachel Toomey, William F. Auffermann, Maciej Mazurowski, Sian Taylor-Phillips, Chris Stinton, Liron Pananowitz, Francine L. Jacobson
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  • Date Published: December 2018
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9781108173636

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About the Authors
  • A state-of-the-art review of key topics in medical image perception science and practice, including associated techniques, illustrations and examples. This second edition contains extensive updates and substantial new content. Written by key figures in the field, it covers a wide range of topics including signal detection, image interpretation and advanced image analysis (e.g. deep learning) techniques for interpretive and computational perception. It provides an overview of the key techniques of medical image perception and observer performance research, and includes examples and applications across clinical disciplines including radiology, pathology and oncology. A final chapter discusses the future prospects of medical image perception and assesses upcoming challenges and possibilities, enabling readers to identify new areas for research. Written for both newcomers to the field and experienced researchers and clinicians, this book provides a comprehensive reference for those interested in medical image perception as means to advance knowledge and improve human health.

    • An overview of key techniques allows the reader to adopt these in their own studies
    • A summary of the future of medical image perception enables identification of new areas of research
    • Examples and applications demonstrate the role of information perception in multiple clinical disciplines
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    Reviews & endorsements

    'In The Handbook of Medical Image Perception and Techniques, Samei and Krupinski have assembled a group of internationally-recognized experts to address an important but under-emphasized stage in the process of medical imaging.' William Hendee, Distinguished Professor Emeritus, Medical College of Wisconsin

    'A concise text that offers a unique collection of chapters from all the leading authors in medical perception. I would highly recommend this text for anyone wanting to know more about medical perception from its historical perspective to current research. A must have reference for anyone wanting to join in this exciting discipline.' Lonie R. Salkowski, University of Wisconsin, Madison

    'Drs Elizabeth Krupinski and Ehsan Samei have given us a wonderful new edition of their landmark textbook on medical image perception, with updated chapters throughout and with approximately thirty percent new material added since the first edition was published in 2010. This new volume comprehensively updates and extends the 'keystone' publication in the field of medical image perception research. Each chapter is the definitive reference on its topic, authored by a foremost expert. With this new edition, Drs Krupinski and Samei have assembled a compendium of what amounts to decades of research and accumulated wisdom in a compact package-comprehensive and yet still very accessible for a broad audience. … Anyone with an interest in this topic will find this book to be an invaluable resource.' Michael A. Bruno, Pennsylvania State University

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    Product details

    • Edition: 2nd Edition
    • Date Published: December 2018
    • format: Adobe eBook Reader
    • isbn: 9781108173636
    • contains: 279 b/w illus.
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    1. Medical image perception Ehsan Samei and Elizabeth Krupinski
    2. A short history of image perception in medical radiology Harold Kundel and Calvin Nodine
    3. Spatial vision research without noise Arthur Burgess
    4. Signal detection theory – a brief history Arthur Burgess
    5. Signal detection in radiology Arthur Burgess
    6. Lessons from dinners with the giants of modern image science Robert Wagner
    7. Perception in context David Manning
    8. Perceptual factors in reading medical images Elizabeth A Krupinski
    9. Cognitive factors in reading medical images David Manning
    10. Satisfaction of search in radiology Kevib Berbaum, Edmund Franken, Robert Caldwell, Kevin Schartz and Mark Madsen
    11. Acquiring expertise in radiologic image interpretation Calvin F. Nodine and Claudia Mello-Thoms
    12. The first moments of medical image perception Jeremy M. Wolfe, Karla K. Evans and Trafton Drew
    13. Image quality and its clinical relevance Justin Solomon, Robert Saunders, Jr and Ehsan Samei
    14. Designing perception experiments Ehsan Samei
    15. Receiver operating characteristic analysis: basic concepts and practical applications Georgia Tourassi
    16. Multireader ROC analysis Stephen L. Hillis
    17. Memory effects and experimental design Tamara Miner Haygood and Karla K. Evans
    18. Observer models as a surrogate to perception experiments Craig K. Abbey and Miguel P. Eckstein
    19. Implementation of observer models Matthew A. Kupinski
    20. Value and limitations of observer models Lucretiu M. Popescu
    21. Perception of volumetric data Geoffrey D. Rubin, Trafton Drew and Lauren H. Williams
    22. Performance assessment using standardized data sets: the PERFORMS® scheme in breast screening and other domains Yan Chen and Alastair Gale
    23. Breast screen reader assessment strategy (BREAST): a research infrastructure with a translational objective Patrick Brennan, Lee Warwick and Kriscia Tapia
    24. CAD: an image perception perspective Maryellen Giger and Weijie Chen
    25. Common designs of CAD studies Yulei Jiang
    26. Evaluation of CAD and radiomic tools Berkman Sahiner and Nicholas Petrick
    27. Quantitative imaging – images to numbers Daniel C. Sullivan and Edward F. Jackson
    28. Optimization of 2D and 3D radiographic imaging systems Jeffrey H. Siewerdsen
    29. Display optimization from a physics perspective Alisa Walz-Flannigan and Scott Stekel
    30. Display optimisation from a perception perspective Mark Mcentee and Rachel Toomey
    31. Perception and training William F. Auffermann and Maciej Mazurowski
    32. Ergonomics 2.0: fatigue in medical imaging Sian Taylor-Phillips, Chris Stinton and Elizabeth Krupinski
    33. Perception issues in pathology Liron Pananowitz, Claudia Mello-Thoms and Elizabeth A. Krupinski
    34. Medical image perception from a clinical perspective Francine L. Jacobson
    35. Future of medical image perception Elizabeth A. Krupinski and Ehsan Samei.

  • Editors

    Ehsan Samei, Duke University Medical Center, Durham
    Ehsan Samei is Professor in Radiology, Physics, Biomedical Engineering, Electrical and Computer Engineering, and Medical Physics at Duke University, where he is the Chief of the Clinical Imaging Physics and the Director of the Medical Physics Graduate Program. His current research includes quality and dose metrics that are clinically relevant and that can be used to design and utilize advanced imaging technologies for optimum interpretive and quantitative performance.

    Elizabeth A. Krupinski, Emory University, Atlanta
    Elizabeth Krupinski is a Professor and Vice Chair for Research at Emory University, Atlanta, in the Departments of Radiology, Psychology and Biomedical Informatics. Her research interests include medical image perception, assessment of observer performance, and human factors issues.

    Contributors

    Ehsan Samei, Elizabeth Krupinski, Harold Kundel, Calvin Nodine, Arthur Burgess, Robert Wagner, David Manning, Kevib Berbaum, Edmund Franken, Robert Caldwell, Kevin Schartz, Mark Madsen, Calvin F. Nodine, Claudia Mello-Thoms, Jeremy M. Wolfe, Karla K. Evans, Trafton Drew, Justin Solomon, Robert Saunders, Jr, Georgia Tourassi, Stephen L. Hillis, Tamara Miner Haygood, Craig K. Abbey, Miguel P. Eckstein, Matthew A. Kupinski, Lucretiu M. Popescu, Geoffrey D. Rubin, Lauren H. Williams, Yan Chen, Alastair Gale, Patrick Brennan, Lee Warwick, Kriscia Tapia, Maryellen Giger, Weijie Chen, Yulei Jiang, Berkman Sahiner, Nicholas Petrick, Daniel C. Sullivan, Edward F. Jackson, Jeffrey H. Siewerdsen, Alisa Walz-Flannigan, Scott Stekel, Mark Mcentee, Rachel Toomey, William F. Auffermann, Maciej Mazurowski, Sian Taylor-Phillips, Chris Stinton, Liron Pananowitz, Francine L. Jacobson

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