Impact of Photon-counting Detector Computed Tomography on a Quantitative Interstitial Lung Disease Machine Learning Model.

Journal: Journal of thoracic imaging
PMID: 39445384

Abstract

PURPOSE: Compare the impact of photon-counting detector computed tomography (PCD-CT) to conventional CT on an interstitial lung disease (ILD) quantitative machine learning (QML) model.

Authors

  • Chi Wan Koo
    Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA. Electronic address: koo.chiwan@mayo.edu.
  • Sean J Huls
  • Francis Baffour
    Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Cynthia H McCollough
    Department of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.
  • Lifeng Yu
    Hithink RoyalFlush Information Network Co., Ltd., Hangzhou 310023, China. yulifeng@myhexin.com.
  • Brian J Bartholmai
    Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA.
  • Zhongxing Zhou
    Biomedical Engineering Department, Tulane University, New Orleans, LA, United States; Tianjin University, School of Precision Instruments and Optoelectronics Engineering, Tianjin, China.

Keywords

External Resources

Popular Topics
Recent Journals