UnivIS
Information system of Friedrich-Alexander-University Erlangen-Nuremberg © Config eG 
FAU Logo
  Collection/class schedule    module collection Home  |  Legal Matters  |  Contact  |  Help    
search:      semester:   
 Lectures   Staff/
Facilities
   Room
directory
   Research-
report
   Publications   Internat.
contacts
   Thesis
offers
   Phone
book
 
 
 Layout
 
printable version

 
 
Departments >> Faculty of Engineering >> Department of Computer Science >> Chair of Computer Science 5 (Pattern Recognition) >>
Automatic Intraoperative Tracking for Workflow and Dose Monitoring in X-Ray-based Minimally Invasive Surgeries (AIT4Surgery)

The goal of this project is the investigation of multimodal methods for the evaluation of interventional workflows in the operation room. This topic will be researched in an international project context with partners in Germany and in Brazil (UNISINOS in Porto Alegre). Methods will be developed to analyze the processes in an OR based on signals from body-worn sensors, cameras and other modalities like X-ray images recorded during the surgeries. For data analysis, techniques from the field of computer vision, machine learning and pattern recognition will be applied. The system will be integrated in a way that body- worn sensors developed by Portabiles as well as angiography systems produced by Siemens Healthcare can be included alongside.
Project manager:
Prof. Dr.-Ing. habil. Andreas Maier, Prof. Dr. Björn Eskofier

Project participants:
Julia Schottenhamml, M. Sc., Prathmesh Madhu, M. Sc., Dr.-Ing. Jennifer Maier, Rebecca Fahrig, Tim Horz, Sigrun Klein, Cristiano Andre da Costa, Rodolfo Stoffel Antunes, Peter Blank

Keywords:
Interventional Operations, Intraoperative Tracking, Dose Monitoring

Duration: 1.6.2018 - 31.5.2021

Sponsored by:
BMBF

Contact:
Maier, Andreas
Phone +49 9131 85 27883, Fax +49 9131 85 27270, E-Mail: andreas.maier@fau.de
UnivIS is a product of Config eG, Buckenhof