Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks.

Journal: Medical physics
Published Date: Mar 26, 2024

Abstract

BACKGROUND: The kernel used in CT image reconstruction is an important factor that determines the texture of the CT image. Consistency of reconstruction kernel choice is important for quantitative CT-based assessment as kernel differences can lead to substantial shifts in measurements unrelated to underlying anatomical structures.

Authors

  • Aravind R Krishnan
    Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Kaiwen Xu
    Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA.
  • Thomas Z Li
    Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Lucas W Remedios
    Vanderbilt University, Nashville TN 37215, USA.
  • Kim L Sandler
    Radiology, Vanderbilt University Medical Center, Nashville, TN 37235, USA.
  • Fabien Maldonado
    Mechanical Engineering Department, Vanderbilt University, Nashville, TN, USA.
  • Bennett A Landman
    Vanderbilt University, Nashville TN 37235, USA.

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