The Handbook of Medical Image Perception and Techniques

Cambridge University Press
Edition: 2, 12/13/2018
EAN 9781107194885, ISBN10: 1107194881

Hardcover, 534 pages, 28.3 x 22.5 x 2.8 cm
Language: English

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.