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|PO-GePV-U-2||The Use of Statistics-Based Analyses of Random Spherical Void Phantoms as a Potential Means for Quantitatively Assessing the Performance of Ultrasound Imaging Systems|
M Holland*, Indiana University- School of Medicine, Indianapolis, IN
|TU-EF-TRACK 2-0||Breast Imaging 1: Current State of the Art|
R Zuley1*, R Mann2*, K Little3*, C Hruska4*, T Hall5*, (1) University Of Pittsburgh Medical Center,Pittsburgh, PA (2) Radboud University Nijmegen Medical Center, Nijmegen, NL(3) Ohio State Univ, Columbus, OH, (4) Mayo Clinic, Rochester, MN, (5) University of WI-Madison/ADCL, Madison, WI
|WE-B-TRACK 7-0||Ultrasound Image Guidance for Interventions|
E Harris1*, S Camps2*, M Antico3*, (1) Institute of Cancer Research and Royal Marsden Hospital, London, London, GB, (2) EBAMed, CH, (3) Queensland University of Technology, Brisbane, Queensland, AU
|WE-F-TRACK 3-3||A Novel End-To-End Deep Learning Based Beamformer for Flexible Array Ultrasound Transducer|
X Huang*, M Lediju Bell, K Ding, Johns Hopkins University, Baltimore, MD
|WE-F-TRACK 3-7||Motion Management in Abdomen with An Integrated Ultrasound and Abdominal Pressure Plate Device|
W Li*, Y Huang, X Chen, Y Yang, University of Science and Technology of China,Hefei,Anhui,CN
|WE-IePD-TRACK 1-6||Quantitative Dimension Estimation and Clinical Utility of Three-Dimensional Ultrasound in Oral Cavity Tumors|
C Park1,2*, J Wihlidal3,4, A Mendez3,4, A Fenster1,2, (1) Western University, London, ON, Canada, (2) Robarts Research Institute, London, ON, Canada, (3) Schulich School Of Medicine And Dentistry, Western University, London, ON, Canada (3) London Health Sciences Centre, London, ON, Canada