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CT of the Heart pp 715–724Cite as

Cardiac CT Radiomics

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

Abstract

Radiology has undergone remarkable technical developments over the past years. State-of-the-art scanners can depict anatomical structures at previously unimaginable detail, while also providing functional information regarding pathologies. No matter how sophisticated our imaging techniques might be, our interpretation of results is still based predominantly on visual inspection. Radiomics is the process of extracting numerous quantitative image-based features from radiological examinations, to create large datasets where each abnormality is characterized by hundreds of different parameters. These parameters are used to create “big data” datasets, which can be analyzed using machine learning machine learning techniques to find new meaningful patterns and relationships in the data.

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Author information

Authors and Affiliations

  1. Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary

    Márton Kolossváry & Pál Maurovich-Horvat

Authors
  1. Márton Kolossváry
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  2. Pál Maurovich-Horvat
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Editors and Affiliations

  1. Department of Radiology, Center for Advanced Imaging Research (CAIR), Medical University of South Carolina, Charleston, SC, USA

    U. Joseph Schoepf

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Kolossváry, M., Maurovich-Horvat, P. (2019). Cardiac CT Radiomics. In: Schoepf, U. (eds) CT of the Heart. Contemporary Medical Imaging. Humana, Totowa, NJ. https://doi.org/10.1007/978-1-60327-237-7_56

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  • DOI: https://doi.org/10.1007/978-1-60327-237-7_56

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