A new automated quantification algorithm for the detection and evaluation of focal liver lesions with contrast-enhanced ultrasound.

Journal: Medical physics
Published Date:

Abstract

PURPOSE: Detect and classify focal liver lesions (FLLs) from contrast-enhanced ultrasound (CEUS) imaging by means of an automated quantification algorithm.

Authors

  • Ilias Gatos
    Department of Medical Physics, School of Medicine, University of Patras, Rion GR 26504, Greece.
  • Stavros Tsantis
    Department of Medical Physics, School of Medicine, University of Patras, Rion GR 26504, Greece.
  • Stavros Spiliopoulos
    Department of Radiology, School of Medicine, University of Patras, Rion GR 26504, Greece.
  • Aikaterini Skouroliakou
    Department of Energy Technology Engineering, Technological Education Institute of Athens, Athens 12210, Greece.
  • Ioannis Theotokas
    Diagnostic Echotomography SA, 317C Kifissias Avenue, Kifissia GR 14561, Greece.
  • Pavlos Zoumpoulis
    Diagnostic Echotomography SA, 317C Kifissias Avenue, Kifissia GR 14561, Greece.
  • John D Hazle
    Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030.
  • George C Kagadis
    Department of Medical Physics, School of Medicine, University of Patras, Rion GR 26504, Greece and Department of Imaging Physics, The University of  Texas MD Anderson Cancer Center, Houston, Texas 77030.