Evaluation of an artificial intelligence noise reduction tool for conventional X-ray imaging - a visual grading study of pediatric chest examinations at different radiation dose levels using anthropomorphic phantoms.

Journal: Pediatric radiology
Published Date: May 13, 2025

Abstract

BACKGROUND: Noise reduction tools developed with artificial intelligence (AI) may be implemented to improve image quality and reduce radiation dose, which is of special interest in the more radiosensitive pediatric population.

Authors

  • Maria Hultenmo
    Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gula stråket 2B, SE-413 45, Gothenburg, Sweden. maria.hultenmo@gu.se.
  • Johanna Pernbro
    Department of Pediatric Radiology, Queen Silvia Children's Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Jenny Ahlin
    Department of Pediatric Radiology, Queen Silvia Children's Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Martin Bonnier
    Department of Pediatric Radiology, Queen Silvia Children's Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Magnus Båth
    Department of Medical Radiation Sciences, University of Gothenburg, Sweden.

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