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Feasibility of deep learning-based noise and artifact reduction in coronal reformation of contrast-enhanced chest computed tomography

http://10.1097/RCT.0000000000001326

  • Author Jae-Kwang Lim,Eun-Ju Kang,Ji Won Lee,박형석,전기완
  • JournalJournal of Computer Assisted Tomography (0363-8715), 46(4), 593 ~ 603
  • Enrollment typeSCIE
  • publication date 20220701
This study aimed to evaluate the feasibility of a deep learning method for imaging artifact and noise reduction in coronal reformation of contrast-enhanced chest computed tomography (CT).