Artificial Intelligence Iterative Reconstruction for Dose Reduction in Pediatric Chest CT: A Clinical Assessment via Below 3 Years Patients With Congenital Heart Disease.

Journal: Journal of thoracic imaging
Published Date: Jul 1, 2025

Abstract

PURPOSE: To assess the performance of a newly introduced deep learning-based reconstruction algorithm, namely the artificial intelligence iterative reconstruction (AIIR), in reducing the dose of pediatric chest CT by using the image data of below 3-year-old patients with congenital heart disease (CHD).

Authors

  • Feifei Zhang
    Department of Computer Science, Guangdong University of Education, Guangzhou, 510303, China.
  • Liying Peng
  • Guozhi Zhang
    Department of Radiology, KU Leuven University Hospitals Leuven, Leuven, Belgium.
  • Ruigang Xie
    Department of Radiology.
  • Minghua Sun
    Department of Radiology.
  • Tao Su
    Department of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-Sen University, 26th Yuancun the Second Road, Guangzhou, 510655, Guangdong Province, China.
  • Yinghui Ge
    Radiology Department, Central China Fuwai Hospital, Fuwai Avenue 1, Zhengzhou 450046, China.

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