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Artificial Intelligence in Medical Imaging

Opportunities, Applications and Risks

  • Book
  • © 2019

Overview

Editors:
  1. Erik R. Ranschaert

    1. ETZ Hospital, Tilburg, The Netherlands

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  2. Sergey Morozov

    1. Radiology Research and Practical Centre, Moscow, Russia

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    You can also search for this editor in PubMed   Google Scholar

  3. Paul R. Algra

    1. Department of Radiology, Northwest Hospital Group, Alkmaar, The Netherlands

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  • Provides a thorough overview of the impact of artificial intelligence (AI) on medical imaging
  • Includes contributions from radiologists and IT professionals, ensuring a multidisciplinary approach
  • Makes practical recommendations for the use of AI technology for both clinical and nonclinical applications

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Table of contents (20 chapters)

  1. Front Matter

    Pages i-xv
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  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. Introduction: Game Changers in Radiology

      • Sergey Morozov, Erik Ranschaert, Paul Algra
      Pages 3-5

  3. Technology: Getting Started

    1. Front Matter

      Pages 7-7
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    2. The Role of Medical Image Computing and Machine Learning in Healthcare

      • Frederik Maes, David Robben, Dirk Vandermeulen, Paul Suetens
      Pages 9-23

    3. A Deeper Understanding of Deep Learning

      • Bart M. ter Haar Romeny
      Pages 25-38

    4. Deep Learning and Machine Learning in Imaging: Basic Principles

      • Bradley J. Erickson
      Pages 39-46

  4. Technology: Developing A.I. Applications

    1. Front Matter

      Pages 47-47
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    2. How to Develop Artificial Intelligence Applications

      • Angel Alberich-Bayarri, Ana Jiménez Pastor, Rafael López González, Fabio García Castro
      Pages 49-59

    3. A Standardised Approach for Preparing Imaging Data for Machine Learning Tasks in Radiology

      • Hugh Harvey, Ben Glocker
      Pages 61-72

    4. The Value of Structured Reporting for AI

      • Daniel Pinto dos Santos
      Pages 73-82

    5. Artificial Intelligence in Medicine: Validation and Study Design

      • Luke Oakden-Rayner, Lyle John Palmer
      Pages 83-104

  5. Big Data in Medicine

    1. Front Matter

      Pages 105-105
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    2. Enterprise Imaging

      • Peter Mildenberger
      Pages 107-117

    3. Imaging Biomarkers and Imaging Biobanks

      • Angel Alberich-Bayarri, Emanuele Neri, Luis Martí-Bonmatí
      Pages 119-126

  6. Practical Use Cases of A.I. in Radiology

    1. Front Matter

      Pages 127-127
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    2. Applications of AI Beyond Image Interpretation

      • José M. Morey, Nora M. Haney, Woojin Kim
      Pages 129-143

    3. Artificial Intelligence and Computer-Assisted Evaluation of Chest Pathology

      • Edwin J. R. van Beek, John T. Murchison
      Pages 145-166

    4. Cardiovascular Diseases

      • Johan Verjans, Wouter B. Veldhuis, Gustavo Carneiro, Jelmer M. Wolterink, Ivana Išgum, Tim Leiner
      Pages 167-185

    5. Deep Learning in Breast Cancer Screening

      • Hugh Harvey, Andreas Heindl, Galvin Khara, Dimitrios Korkinof, Michael O’Neill, Joseph Yearsley et al.
      Pages 187-215
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Keywords

About this book

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implicationsfor radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

Reviews

“The book seems practical and interesting for newcomers to the feld and also experts. This book covers a range of introductory to advanced issues of AI and can respond well to the concerns of researchers. The presented examples … prepare the ground for familiarity with the research process and future research trends in this feld. Based on the reviews, we can recommend this book to researchers as a desirable book as a gateway to enter this feld.” (Shahabedin Nabavi and Mohammad Mohammadi, Physical and Engineering Sciences in Medicine, Vol. 44, 2021)

Editors and Affiliations

  • ETZ Hospital, Tilburg, The Netherlands

    Erik R. Ranschaert

  • Radiology Research and Practical Centre, Moscow, Russia

    Sergey Morozov

  • Department of Radiology, Northwest Hospital Group, Alkmaar, The Netherlands

    Paul R. Algra

About the editors

Dr Erik R. Ranschaert, MD, PhD, is currently radiologist at the ETZ Hospital in Tilburg, the Netherlands, and vice-president of the European Society of Medical Imaging Informatics (EuSoMII). Dr. Ranschaert was trained in radiology at  KU Leuven University Hospital in Belgium and graduated in 1994. On July 14th 2016 he was awarded a PhD in Medical Sciences at the University of Antwerp, with a thesis titled: “The Impact of Information Technology on Radiology Services”. He is certified as Imaging Informatics Professional by the ABII in 2017. He was chairman of the ECR Computer Applications Subcommittee in 2008 and member of the ESR eHealth and informatics subcommittee in 2014 - 2016. He is the first author or co-author of more than 20 peer-reviewed articles and he gave more than 40 lectures on invitation, most topics related to his thesis and imaging informatics. 


Sergey Morozov, MD, MPH, PhD is Professor of Radiology and CEO of Radiology Research and Practice Center in Moscow, Russia. Dr. Morozov was trained in clinical imaging at Sechenov Moscow Medical University and clinical effectiveness at Harvard School of Public Health in 2002-2006. He became Chief of Radiology at the Central Clinical Hospital in Moscow in 2007-2012 and then at the European Medical Center in 2013-2015. He is Executive Director of Russian Society of Radiology, President of European Society of Medical Imaging Informatics, past chairman of Imaging Informatics subcommittee of ECR, member of ECR 2019 Program planning committee, RSNA Education Exhibits Awards Committee. He is certified as Imaging Informatics Professional by ABII in 2017. Prof. Dr. Morozov is a renowned expert in clinical imaging, healthcare management and informatics and is the co-author of more than 100 journal articles and 15 book chapters. 


Dr Paul Algra MD PhD, Northwest Hospital Group, Alkmaar, The Netherlands, is trained as radiologist in Leiden University Hospital and as neuroradiologist in Free University Amsterdam. His PhD thesis (1992) was on CT and MRI of vertebral metastases. He was vice-president of Dutch Radiological Society. He is member of scientific committee CAR, board member of EuSoMII and editorial board member of several radiology journals. He (co) authored around 50 articles in peer reviewed journals and served as department chief and program director for more than 15 years.




Bibliographic Information

  • Book Title: Artificial Intelligence in Medical Imaging

  • Book Subtitle: Opportunities, Applications and Risks

  • Editors: Erik R. Ranschaert, Sergey Morozov, Paul R. Algra

  • DOI: https://doi.org/10.1007/978-3-319-94878-2

  • Publisher: Springer Cham

  • eBook Packages: Medicine, Medicine (R0)

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Hardcover ISBN: 978-3-319-94877-5Published: 07 February 2019

  • eBook ISBN: 978-3-319-94878-2Published: 29 January 2019

  • Edition Number: 1

  • Number of Pages: XV, 373

  • Number of Illustrations: 23 b/w illustrations, 81 illustrations in colour

  • Topics: Imaging / Radiology, Information Systems and Communication Service, Health Informatics

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