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

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Artificial Intelligence in Cardiothoracic Imaging

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

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Abstract

Implementation of artificial intelligence (AI), deep learning (DL), and neural networks (NN) to medical CT imaging holds great promise to improve many challenging computation tasks. The progress made with modern technology has significantly aided in the development of AI technology, and its reduction in cost has made it readily available to the public at large. Applications of NNs to CT images have demonstrated its ability to assist the diagnostic performance of a trained physician through a variety of techniques and approaches. These AI-based computational tasks can be grouped into two broad categories: image enhancement and image reconstruction. Image enhancement with AI is the process of using the existing image to extract information or reduce erroneous information found within the image. Using AI to perform image reconstruction is a method to transform a series of images into another more comprehensive image. Here, we explore different applications of AI, DL, and NNs that address each of these two categories, various subcategories, and the specific approaches to solving their problem at hand.

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Author information

Authors and Affiliations

  1. Department of Radiology and Imaging Sciences and Winship Cancer Institute, Emory University, Atlanta, GA, USA

    Thomas Wesley Holmes

  2. Department of Radiology and Imaging Sciences and Winship Cancer Institute, Emory University, Atlanta, GA, USA

    Amir Pourmorteza

  3. Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA

    Amir Pourmorteza

Authors
  1. Thomas Wesley Holmes
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  2. Amir Pourmorteza
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Corresponding author

Correspondence to Amir Pourmorteza .

Editor information

Editors and Affiliations

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

    Carlo N. De Cecco

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

    Marly van Assen

  3. Department of Radiology, Mayo Clinic, Rochester, MN, USA

    Tim Leiner

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Holmes, T.W., Pourmorteza, A. (2022). Artificial Intelligence-Based Image Enhancement and Reconstruction in Computed Tomography Imaging. In: De Cecco, C.N., van Assen, M., Leiner, T. (eds) Artificial Intelligence in Cardiothoracic Imaging. Contemporary Medical Imaging. Humana, Cham. https://doi.org/10.1007/978-3-030-92087-6_15

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  • DOI: https://doi.org/10.1007/978-3-030-92087-6_15

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  • Publisher Name: Humana, Cham

  • Print ISBN: 978-3-030-92086-9

  • Online ISBN: 978-3-030-92087-6

  • eBook Packages: MedicineMedicine (R0)

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