Comparing fully automated AI body composition biomarkers at differing virtual monoenergetic levels using dual-energy CT.

Journal: Abdominal radiology (New York)
PMID: 39643734

Abstract

PURPOSE: To investigate the behavior of artificial intelligence (AI) CT-based body composition biomarkers at different virtual monoenergetic imaging (VMI) levels using dual-energy CT (DECT).

Authors

  • Giuseppe V Toia
    Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Mailbox 3252, Madison, WI 53792.
  • John W Garret
    University of Wisconsin School of Medicine and Public Health, Madison, USA.
  • Sean D Rose
    The University of Texas Health Science Center at Houston, Houston, USA.
  • Timothy P Szczykutowicz
    Department of Radiology, University of Wisconsin Madison, 1111 Highland Ave, 1005 WIMR, Madison, WI 53705.
  • Perry J Pickhardt
    University of Wisconsin Medical School, Department of Radiology, Madison, Wisconsin, United States.

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