MICCAI2017 POCUS Workshop

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Introduction

Point-of-care Ultrasound (POCUS) encompasses automated US image and RF data analysis algorithms, rugged US probes, robust tracking hardware, and specialized user interfaces including augmented reality systems. The goal of a POCUS system is to guide novice users to properly manipulate an US probe and interpret the acquired data. The output of a POCUS system is typically a quantitative measure or an automated diagnosis, not a B-mode image. POCUS applications range from detecting intra-abdominal bleeding at the scene of an accident to in-home monitoring of liver health. The POCUS workshop will feature invited and accepted presentations, live demonstrations, and a panel discussion. The workshop is a satellite event of the 20th International conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2017), Sept.10-14, Quebec City, Quebec, Canada.

Faculty

• Stephen Aylward, Kitware
• Emad Boctor, JHU
• Gabor Fichtinger, Queens University
• Kevin Cleary, Children’s National Medical Center
• Matt Oetgen, MD, Children’s National Medical Center
• Deborah Kane, MD, Washington University
• Bradley Freeman, MD, Washington University
• Luv Kohli, InnerOptic
• Sonia Pujol, Brigham and Women's Hospital, Harvard Medical School

Logistics

• Date: Thursday September 14, 2017, 8:30 am - 5:00 pm
• Location: Quebec City convention Centre, Quebec City, Canada