Separation of bones from soft tissue in chest radiographs: Anatomy-specific orientation-frequency-specific deep neural network convolution.

Journal: Medical physics
Published Date: May 1, 2019

Abstract

PURPOSE: Lung nodules that are missed by radiologists as well as by computer-aided detection (CAD) systems mostly overlap with ribs and clavicles. Removing the bony structures would result in better visualization of undetectable lesions. Our purpose in this study was to develop a virtual dual-energy imaging system to separate ribs and clavicles from soft tissue in chest radiographs.

Authors

  • Amin Zarshenas
    Medical Imaging Research Center & Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, 60616, USA.
  • Junchi Liu
    Medical Imaging Research Center & Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, 60616, USA.
  • Paul Forti
    Medical Imaging Research Center & Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, 60616, USA.
  • Kenji Suzuki
    Department of General Thoracic Surgery, Juntendo University School of Medicine, Tokyo, Japan.

Keywords

External Resources

Popular Topics
Recent Journals