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Observer performance methods for diagnostic imaging : foundations, modeling, and applications with R-based examples

Author: Dev P Chakraborty
Publisher: Boca Raton, FL : CRC Press, Taylor & Francis Group, [2017] ©2017
Series: Imaging in medical diagnosis and therapy, 29.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"This book presents the technology evaluation methodology from the point of view of radiological physics and contrasts the purely physical evaluation of image quality with the determination of diagnostic outcome through the study of observer performance. The reader is taken through the arguments with concrete examples illustrated by code in R, an open source statistical language."--The Foreword by Prof. Harold L.  Read more...
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Genre/Form: Electronic book
Electronic books
Additional Physical Format: Print version:
Chakraborty, Dev P.
Observer performance methods for diagnostic imaging.
Boca Raton, FL : CRC Press, Taylor & Francis Group, [2017]
(DLC) 2017031569
(OCoLC)1007500494
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Dev P Chakraborty
ISBN: 9781351230711 1351230719 9781482214864 1482214865 9781351229449 1351229443 9781351228190 1351228196
OCLC Number: 1016635208
Description: 1 online resource
Contents: Half Title; Series Page; Title Page; Copyright Page; Dedication; Contents; Series Preface; Foreword (Barnes); Foreword (Kundel); Preface; About the Author; Notation; 1 Preliminaries; 1.1 Introduction; 1.2 Clinical tasks; 1.2.1 Workflow in an imaging study; 1.2.2 The screening and diagnostic workup tasks; 1.3 Imaging device development and its clinical deployment; 1.3.1 Physical measurements; 1.3.2 Quality control and image quality optimization; 1.4 Image quality versus task performance; 1.5 Why physical measures of image quality are not enough; 1.6 Model observers. 1.7 Measuring observer performance: Four paradigms1.7.1 Basic approach to the analysis; 1.7.2 Historical notes; 1.8 Hierarchy of assessment methods; 1.9 Overview of the book and how to use it; 1.9.1 Overview of the book; 1.9.1.1 Part A: The ROC paradigm; 1.9.1.2 Part B: The statistics of ROC analysis; 1.9.1.3 Part C: The FROC paradigm; 1.9.1.4 Part D: Advanced topics; 1.9.1.5 Part E: Appendices; 1.9.2 How to use the book; References; PART Aâ#x80;#x83;The receiver operating characteristic (ROC) paradigm; 2 The binary paradigm; 2.1 Introduction. 2.2 Decision versus truth: The fundamental 2 Ã#x97; 2 table of ROC analysis2.3 Sensitivity and specificity; 2.4 Reasons for the names sensitivity and specificity; 2.5 Estimating sensitivity and specificity; 2.6 Disease prevalence; 2.7 Accuracy; 2.8 Positive and negative predictive values; 2.9 Example: Calculation of PPV, NPV, and accuracy; 2.9.1 Code listing; 2.9.2 Code output; 2.9.3 Code output; 2.10 PPV and NPV are irrelevant to laboratory tasks; 2.11 Summary; References; 3 Modeling the binary task; 3.1 Introduction; 3.2 Decision variable and decision threshold. 3.2.1 Existence of a decision variable3.2.2 Existence of a decision threshold; 3.2.3 Adequacy of the training session; 3.3 Changing the decision threshold: Example I; 3.4 Changing the decision threshold: Example II; 3.5 The equal variance binormal model; 3.6 The normal distribution; 3.6.1 Code snippet; 3.6.2 Analytic expressions for specificity and sensitivity; 3.7 Demonstration of the concepts of sensitivity and specificity; 3.7.1 Code output; 3.7.2 Changing the seed variable: Case-sampling variability; 3.7.2.1 Code output; 3.7.3 Increasing the numbers of cases; 3.7.3.1 Code output. 3.7.3.2 Code output3.7.3.3 Code snippet; 3.8 Inverse variation of sensitivity and specificity and the need for a single FOM; 3.9 The ROC curve; 3.9.1 The chance diagonal; 3.9.1.1 The guessing observer; 3.9.2 Symmetry with respect to negative diagonal; 3.9.3 Area under the ROC curve; 3.9.4 Properties of the equal variance binormal model ROC curve; 3.9.5 Comments; 3.9.6 Physical interpretation of Îơ; 3.9.6.1 Code snippet; 3.10 Assigning confidence intervals to an operating point; 3.10.1 Code output; 3.10.2 Code output; 3.10.3 Exercises.
Series Title: Imaging in medical diagnosis and therapy, 29.
Responsibility: Dev P. Chakraborty.

Abstract:

"This book presents the technology evaluation methodology from the point of view of radiological physics and contrasts the purely physical evaluation of image quality with the determination of diagnostic outcome through the study of observer performance. The reader is taken through the arguments with concrete examples illustrated by code in R, an open source statistical language."--The Foreword by Prof. Harold L. Kundel, Department of Radiology, Perelman School of Medicine, University of Pennsylvania.

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"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 Read more...

 
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