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Artificial Intelligence in Medical Imaging pp 167–185Cite as

Cardiovascular Diseases

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Abstract

Cross-sectional imaging techniques—echocardiography, CT, MRI and nuclear medicine—are the diagnostic tools of choice for the diagnosis and workup of cardiovascular disease. Machine learning and deep learning in particular will have a fundamental and lasting impact on all of these modalities. Whereas deep learning is mostly discussed in the context of image interpretation, we show that the impact is much broader than this. The entire imaging chain from choosing the appropriate imaging test to acquiring the proper images, reconstruction of images from raw data, image interpretation, reporting and derivation of prognostic information can be improved by application of machine learning and deep learning techniques. Application of machine learning and deep learning algorithms will be an important step towards fulfilling the promise of truly personalized medicine, especially when information from imaging is combined with other data such as the results from laboratory evaluations, genetic analysis, medication use and personal fitness trackers. Nevertheless, the process of bringing the results to physicians is nontrivial, and we also discuss our experience with deployment of developed algorithms in clinical practice.

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Authors and Affiliations

  1. Department of Cardiology, South Australian Health and Medical Research Institute, University of Adelaide, Adelaide, SA, Australia

    Johan Verjans & Gustavo Carneiro

  2. Department of Cardiology, Utrecht University Medical Center, Utrecht, The Netherlands

    Johan Verjans

  3. Department of Radiology, Utrecht University Medical Center, Utrecht, The Netherlands

    Wouter B. Veldhuis & Tim Leiner

  4. Image Sciences Institute, Utrecht University Medical Center, Utrecht, The Netherlands

    Jelmer M. Wolterink & Ivana Išgum

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  1. Johan Verjans
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  4. Jelmer M. Wolterink
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Correspondence to Tim Leiner .

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Editors and Affiliations

  1. ETZ Hospital, Tilburg, The Netherlands

    Erik R. Ranschaert

  2. Radiology Research and Practical Centre, Moscow, Russia

    Sergey Morozov

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

    Paul R. Algra

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Verjans, J., Veldhuis, W.B., Carneiro, G., Wolterink, J.M., Išgum, I., Leiner, T. (2019). Cardiovascular Diseases. In: Ranschaert, E., Morozov, S., Algra, P. (eds) Artificial Intelligence in Medical Imaging. Springer, Cham. https://doi.org/10.1007/978-3-319-94878-2_13

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  • DOI: https://doi.org/10.1007/978-3-319-94878-2_13

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  • Online ISBN: 978-3-319-94878-2

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