- Home
- Register
- Attend
- Conference Program
- SC15 Schedule
- Technical Program
- Awards
- Students@SC
- Research with SCinet
- HPC Impact Showcase
- HPC Matters Plenary
- Keynote Address
- Support SC
- SC15 Archive
- Exhibits
- Media
- SCinet
- HPC Matters
SCHEDULE: NOV 15-20, 2015
When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.
HPC Enabled Real-Time Remote Processing of Laparoscopic Surgery
SESSION: Regular & ACM Student Research Competition Poster Reception
EVENT TYPE: Posters, Receptions, ACM Student Research Competition
EVENT TAG(S): HPC Beginner Friendly, Regular Poster
TIME: 5:15PM - 7:00PM
SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold
AUTHOR(S):Karan Sapra, Zahra Ronaghi, Ryan Izard, Edward Duffy, Melissa C. Smith, Kuang-Ching Wang, David M. Kwartowitz
ROOM:Level 4 - Lobby
ABSTRACT:
Laparoscopic surgery is a minimally invasive surgical technique where surgeons insert a small video camera into the patient’s body to visualize internal organs and use small tools to perform surgical procedures. However, the benefit of small incisions has a drawback of limited subsurface tissue visualization. Image-guided surgery (IGS) uses images to map subsurface structures and can reduce the limitations of laparoscopic surgery. One particular laparoscopic camera system is the vision system of the daVinci robotic surgical system. The video streams generate approximately 360 MB of data per second, demonstrating a trend towards increased data sizes in medicine. Processing this huge stream of data on a single or dual node setup is a challenging task, thus we propose High Performance Computing (HPC) enabled framework for laparoscopic surgery. We utilize high-speed networks to access computing clusters to perform various operations on pre- and intra-operative images in a secure, reliable and scalable manner.
Chair/Author Details:
Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|
Karan Sapra - Clemson University
Zahra Ronaghi - Clemson University
Ryan Izard - Clemson University
Edward Duffy - Clemson University
Melissa C. Smith - Clemson University
Kuang-Ching Wang - Clemson University
David M. Kwartowitz - Clemson University
Click here to download .ics calendar file
