The Handbook of Medical Image Perception and Techniques (2^nd Ed., Revised edition)

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.

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.

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 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.