Image Quality Assessment of a Deep Learning-Based Automatic Bone Removal Algorithm for Cervical CTA.

Journal: Journal of computer assisted tomography
PMID:

Abstract

BACKGROUND: The present study aims to evaluate the postprocessing image quality of a deep-learning (DL)-based automatic bone removal algorithm in the real clinical practice for cervical computed tomography angiography (CTA).

Authors

  • Yuanyuan Cui
    College of Science, Sichuan Agricultural University, Xin Kang Road, Yucheng District, Ya'an, 625014, China, PR China.
  • Rongrong Fan
    From the Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
  • Yuxin Cheng
    From the Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
  • An Sun
    From the Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
  • Zhoubing Xu
    Electrical Engineering, Vanderbilt University, Nashville, TN 37235, USA. Electronic address: zhoubing.xu@vanderbilt.edu.
  • Michael Schwier
    Siemens Medical Solutions USA, Princeton, NJ.
  • Linfeng Li
    Medical Data Research Institute, Chongqing Medical University, Chongqing, China.
  • Shushen Lin
    Siemens Healthineers, Shanghai, China.
  • Max Schoebinger
    From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (C.T., C.N.D.C., S.B., M.R., T.W.M., T.M.D., R.R.B., U.J.S.), and Division of Cardiology, Department of Medicine (R.R.B., D.H.S., U.J.S.), Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260; Department of Computed Tomography-Research & Development, Siemens Healthcare GmbH, Forchheim, Germany (K.L.G., C.C., C.S., M.S.); Department of Corporate Technology, Siemens SRL, Brasov, Romania (L.M.I.); and Department of Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ (S.R., P.S.).
  • Yi Xiao
    Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P. R. China.
  • Shiyuan Liu
    Department of Radiology, Changzheng Hospital of the Navy Medical University, Shanghai, China. Electronic address: liushiyuan@smmu.edu.cn.