The Handbook of Medical Image Perception and Techniques [Paperback]

State-of-the-art reference reviewing key issues and methods for newcomers to the field and experienced researchers.Written with both the novice and researcher in mind, this state-of-the-art book reviews key issues and methods in medical image perception research. It provides a broad overview of medical image perception for newcomers to the field and experienced researchers, and will serve as a reference volume for years to come.Written with both the novice and researcher in mind, this state-of-the-art book reviews key issues and methods in medical image perception research. It provides a broad overview of medical image perception for newcomers to the field and experienced researchers, and will serve as a reference volume for years to come.This state-of-the-art book reviews key issues and methods in medical image perception research through associated techniques, illustrations and examples. Written by key figures in the field, the book covers a range of topics including the history of medical image perception research, the basics of vision and cognition, and dedicated application areas, especially those concerned with the interface between the clinician and the display of medical image data. It summarizes many of the basic techniques used to conduct and analyze medical image perception and observer performance research, allowing readers to understand basic research techniques so they can adopt them for use in their own studies. Written for both newcomers to the field and experienced researchers, this book provides a broad overview of medical image perception, and will serve as a reference volume for years to come.1. Medical image perception Ehsan Samei and Elizabeth Krupinski; Part I. Historical Reflections and Theoretical Foundations: 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 ralƒ#