Difference between revisions of "MICCAI2017 POCUS Workshop"
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| + | {| class="wikitable" style="background: white;" | ||
| + | |- style="text-align: center;" | ||
| + | |style="width:50%" |[[Image:NAMIC.jpg]] | ||
| + | |style="width:50%" |[[Image:Logo_nac.gif]] | ||
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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 [https://blog.kitware.com/events/pocus-miccai2017/#hd1 POCUS workshop] will feature invited and accepted presentations, live demonstrations, and a panel discussion. The workshop is a satellite event of the [http://www.miccai2017.org/ 20th International conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2017)], September 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, 8:30am-5:00pm | ||
| + | *Location: Quebec City Convention Centre, Quebec City, Canada | ||
Latest revision as of 16:21, 11 April 2023
Home < 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), September 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, 8:30am-5:00pm
- Location: Quebec City Convention Centre, Quebec City, Canada
