DocumentCode :
3297977
Title :
Regional Anaesthesia Simulator and Assistant (RASimAs): Medical Image Processing Supporting Anaesthesiologists in Training and Performance of Local Blocks
Author :
Deserno, Thomas M. ; De Oliveira, Julia E. E. ; Grottke, Oliver
Author_Institution :
Uniklinik, Dept. of Med. Inf., RWTH Aachen, Aachen, Germany
fYear :
2015
fDate :
22-25 June 2015
Firstpage :
348
Lastpage :
351
Abstract :
In worldwide health systems, regional anaesthesia (RA) is not applied as frequent as it should be and benefits to patient´s cure and cost savings are wasted. The Regional Anaesthesia Simulator and Assistant (RASimAs) project combines image processing, physiological models, and virtual reality to support ultrasound-guided and electrical nerve stimulation-guided RA. The simulator component maps patient-specific data to general models and composes virtual reality environments using a haptic device coupled with the needle. The assistant component provides enhanced feedback mapping online-acquired ultrasound data. Regarding image processing, RASimAs aims at acquiring subject data for model development and composing a library of segmentation and registration algorithms to provide localized, patient-specific, material properties within anatomical context. Subject posing and extrapolation of body regions without patient-specific data are central challenges.
Keywords :
bioelectric phenomena; biomedical ultrasonics; extrapolation; haptic interfaces; image registration; image segmentation; medical image processing; needles; physiological models; surgery; virtual reality; RASimAs; Regional Anaesthesia Simulator and Assistant project; anaesthesiologists; anatomical context; assistant component; body regions; electrical nerve stimulation-guided RA; enhanced feedback mapping online; extrapolation; general models; haptic device; local block performance; local block training; localized properties; material properties; medical image processing; model development; needle; patient cure; patient-specific data; patient-specific properties; physiological models; registration algorithms; segmentation algorithms; simulator component maps; subject data; ultrasound data; ultrasound-guided RA; virtual reality environments; worldwide health systems; Anesthesia; Biomedical imaging; Computational modeling; Data models; Magnetic resonance imaging; Solid modeling; Training; anatomical model; regional anaesthesia assistant; regional anaesthesia simulator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2015 IEEE 28th International Symposium on
Conference_Location :
Sao Carlos
Type :
conf
DOI :
10.1109/CBMS.2015.61
Filename :
7167514
Link To Document :
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