Observer Performance Methods for Diagnostic Imaging: Foundations, Modeling, and Applications with R-Based Examples

This book provides a complete, introductory overview of this growing field and its applications in medical imaging, utilizing worked examples and exercises to demystify statistics for readers of any background. It covers discussion of study design basics and use of the techniques in imaging system optimization, among other topics.

Format: Hardback
Length: 542 pages
Publication date: 18 December 2017
Publisher: Apple Academic Press Inc.

This comprehensive book offers a unique perspective on technology evaluation methodology in radiological physics, contrasting the purely physical assessment of image quality with the determination of diagnostic outcome through the study of observer performance. The reader is guided through the arguments with concrete examples illustrated using code in the open-source statistical language R.

The book is of immense value to individuals who are interested in observer performance evaluations in diagnostic medical imaging, offering valuable insights to those with extensive experience in the field.

Prof. Harold L. Kundel, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, states in the Foreword that "This book will benefit individuals interested in observer performance evaluations in diagnostic medical imaging and provide additional insights to those that have worked in the field for many years."

Prof. Gary T. Barnes, Department of Radiology, University of Alabama at Birmingham, adds, "This book provides a complete introductory overview of this growing field and its applications in medical imaging, utilizing worked examples and exercises to demystify statistics for readers of any background. It includes a tutorial on the use of the open-source, widely used R software, as well as basic statistical background, before addressing localization tasks common in medical imaging."

The book offers a comprehensive coverage of various topics, including study design basics, the application of techniques in imaging system optimization, memory effects in clinical interpretations, predictions of clinical task performance, alternatives to ROC analysis, and non-medical applications.

Dev P. Chakraborty, Ph.D., is a clinical diagnostic imaging physicist, certified by the American Board of Radiology in Diagnostic Radiological Physics and Medical Nuclear Physics. He has held faculty positions at the University of Alabama at Birmingham, University of Pennsylvania, and most recently at the University of Pittsburgh.

In conclusion, this book is a valuable resource for professionals, researchers, and students in the field of diagnostic medical imaging. It provides a comprehensive introduction to technology evaluation methodology, highlighting the interplay between physical image quality and observer performance. With its practical examples and R code, it offers a practical guide to understanding and applying statistical techniques in medical imaging.

Weight: 1194g
Dimension: 186 x 263 x 42 (mm)
ISBN-13: 9781482214840