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Artificial Intelligence in Cardiothoracic Imaging

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  • © 2022

Overview

Editors:
  1. Carlo N. De Cecco

    1. Division of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, USA

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  2. Marly van Assen

    1. Division of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, USA

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  3. Tim Leiner

    1. Department of Radiology, Mayo Clinic, Rochester, USA

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  • Provides a thorough overview of the future potential and current applications of AI for cardiothoracic imaging
  • Includes contributions from radiologists and IT professionals, giving a multidisciplinary view
  • Gives practical recommendations for the use of AI technology in clinical practice, showing optimal workflow integration

Part of the book series: Contemporary Medical Imaging (CMI)

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Table of contents (55 chapters)

  1. Front Matter

    Pages i-xxiv
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  2. Artificial Intelligence: Technical Considerations and Fundamentals

    1. Front Matter

      Pages 1-1
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    2. Artificial Intelligence: A Century-Old Story

      • Marly van Assen, Emanuele Muscogiuri, Giovanni Tessarin, Carlo N. De Cecco
      Pages 3-13

    3. Demystifying Artificial Intelligence Technology in Cardiothoracic Imaging: The Essentials

      • Jelmer M. Wolterink, Anirban Mukhopadhyay
      Pages 15-25

    4. Artificial Intelligence Algorithm Development for Biomedical Imaging

      • Peter M. A. van Ooijen, Leonardus B. van den Oever
      Pages 27-35

    5. Data Preparation for Artificial Intelligence

      • Aline L. de Araujo, Cailin Hardell, Wojciech A. Koszek, Jie Wu, Martin J. Willemink
      Pages 37-43

    6. Data Storage, Cloud Usage and Artificial Intelligence Pipeline

      • Peter M. A. van Ooijen, Erfan Darzi, Andre Dekker
      Pages 45-55

    7. How to Build Artificial Intelligence Algorithms for Imaging Applications

      • Lewis Hahn, Evan Masutani, Kyle Hasenstab
      Pages 57-69

    8. Radiomics: Technical Background

      • Bettina Baessler
      Pages 71-80

    9. Biobanks and Artificial Intelligence

      • Musa Abdulkareem, Nay Aung, Steffen E. Petersen
      Pages 81-93

    10. Biostatistics and Artificial Intelligence

      • Lance A. Waller
      Pages 95-101

  3. Artificial Intelligence: General Approaches and Applications

    1. Front Matter

      Pages 103-103
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    2. Structured Reporting in Medical Imaging: The Role of Artificial Intelligence

      • Peter D. Filev, Arthur E. Stillman
      Pages 105-112

    3. Artificial Intelligence: Clinical Relevance and Workflow

      • William Moore, Jane Ko
      Pages 113-119

    4. Patient Selection and Scan Preparation Optimization: The Role of Artificial Intelligence

      • Matthias Eberhard, Bettina Baessler, Hatem Alkadhi
      Pages 121-123

    5. Artificial Intelligence for Image Enhancement and Reconstruction in Magnetic Resonance Imaging

      • Kerstin Hammernik, Mehmet Akçakaya
      Pages 125-138

    6. Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance

      • Chen Qin, Daniel Rueckert
      Pages 139-147

    7. Artificial Intelligence-Based Image Enhancement and Reconstruction in Computed Tomography Imaging

      • Thomas Wesley Holmes, Amir Pourmorteza
      Pages 149-166

    8. Artificial Intelligence-Based Contrast Medium Optimization

      • Bibi Martens, Babs M. F. Hendriks, Joachim E. Wildberger, Casper Mihl
      Pages 167-172

    9. Radiation Dose Optimization: The Role of Artificial Intelligence

      • Damiano Caruso, Domenico De Santis, Tiziano Polidori, Marta Zerunian, Andrea Laghi
      Pages 173-180
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Keywords

About this book

This book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because the medical system is based on physicians’ ability to take well-informed decisions and convey their reasoning to colleagues and patients.


This book offers unique insights and informative chapters on the use of AI for cardiothoracic imaging from both the technical and clinical perspective. It is also a single comprehensive source that provides a complete overview of the entire process of the development and use of AI in clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separate chapters will discuss the valorization, regulations surrounding AI, cost-effectiveness, and future perspective for different countries and continents.
 
This book is an ideal guide for clinicians (radiologists, cardiologists etc.) interested in working with AI, whether in a research setting developing new AI applications or in a clinical setting using AI algorithms in clinical practice. The book also provides clinical insights and overviews for AI specialists who want to develop clinically relevant AI applications.

Editors and Affiliations

  • Division of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, USA

    Carlo N. De Cecco, Marly van Assen

  • Department of Radiology, Mayo Clinic, Rochester, USA

    Tim Leiner

About the editors

Carlo N. De Cecco, MD PhD is Associate Professor of Radiology and Biomedical Informatics, and Director of the Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence in the Department of Radiology and Imaging Sciences at Emory University Hospital in Atlanta, USA. He is editor of the Springer books MDCT and MRI of the Heart (2014) and Dual Energy CT in Oncology (2015).

Marly van Assen, PhD is a Post-Doctoral Fellow in the Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence in the Department of Radiology and Imaging Sciences at Emory University Hospital in Atlanta, USA.

Tim Leiner, MD PhD is Professor of Radiology at Utrecht University Medical Center in the Netherlands with a strong interest in development and clinical implementation of AI. 

Bibliographic Information

  • Book Title: Artificial Intelligence in Cardiothoracic Imaging

  • Editors: Carlo N. De Cecco, Marly van Assen, Tim Leiner

  • Series Title: Contemporary Medical Imaging

  • DOI: https://doi.org/10.1007/978-3-030-92087-6

  • Publisher: Humana Cham

  • eBook Packages: Medicine, Medicine (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-92086-9Published: 23 April 2022

  • Softcover ISBN: 978-3-030-92089-0Published: 17 May 2022

  • eBook ISBN: 978-3-030-92087-6Published: 22 April 2022

  • Series ISSN: 2626-6431

  • Series E-ISSN: 2626-6423

  • Edition Number: 1

  • Number of Pages: XXIV, 595

  • Number of Illustrations: 33 b/w illustrations, 200 illustrations in colour

  • Topics: Imaging / Radiology

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