Evaluating a Convolutional Neural Network Noise Reduction Method When Applied to CT Images Reconstructed Differently Than Training Data.

Journal: Journal of computer assisted tomography
Published Date: May 13, 2025

Abstract

OBJECTIVE: The aim of this study was to evaluate a narrowly trained convolutional neural network (CNN) denoising algorithm when applied to images reconstructed differently than training data set.

Authors

  • Nathan R Huber
    From the Department of Radiology, Mayo Clinic, Rochester, MN.
  • Andrew D Missert
    CT Clinical Innovation Center, Department of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.
  • Lifeng Yu
    Hithink RoyalFlush Information Network Co., Ltd., Hangzhou 310023, China. yulifeng@myhexin.com.
  • Shuai Leng
    Department of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.
  • Cynthia H McCollough
    Department of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.

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