TY - GEN
T1 - Development of the ultra-miniaturized inertial measurement unit WB3 for objective skill analysis and assessment in neurosurgery
T2 - 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009
AU - Zecca, Massimiliano
AU - Sessa, Salvatore
AU - Lin, Zhuohua
AU - Suzuki, Takashi
AU - Sasaki, Tomoya
AU - Itoh, Kazuko
AU - Iseki, Hiroshi
AU - Takanishi, Atsuo
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - In recent years there has been an ever increasing amount of research and development of technologies and methodologies aimed at improving the safety of advanced surgery. In this context, several training methods and metrics have been proposed, in particular for laparoscopy, both to improve the surgeon's abilities and also to assess her/his skills. For neurosurgery, however, the extremely small movements and sizes involved have prevented until now the development of similar methodologies and systems. In this paper we present the development of the ultra-miniaturized Inertial Measurement Unit WB3 (at present the smallest, lightest, and best performing in the world) for practical application in neurosurgery as skill assessment tool. This paper presents the feasibility study for quantitative discrimination of movements of experienced surgeons and beginners in a simple pick and place scenario.
AB - In recent years there has been an ever increasing amount of research and development of technologies and methodologies aimed at improving the safety of advanced surgery. In this context, several training methods and metrics have been proposed, in particular for laparoscopy, both to improve the surgeon's abilities and also to assess her/his skills. For neurosurgery, however, the extremely small movements and sizes involved have prevented until now the development of similar methodologies and systems. In this paper we present the development of the ultra-miniaturized Inertial Measurement Unit WB3 (at present the smallest, lightest, and best performing in the world) for practical application in neurosurgery as skill assessment tool. This paper presents the feasibility study for quantitative discrimination of movements of experienced surgeons and beginners in a simple pick and place scenario.
UR - http://www.scopus.com/inward/record.url?scp=79960097558&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-04268-3_55
DO - 10.1007/978-3-642-04268-3_55
M3 - Conference contribution
C2 - 20426018
AN - SCOPUS:79960097558
SN - 3642042678
SN - 9783642042676
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 443
EP - 450
BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings
Y2 - 20 September 2009 through 24 September 2009
ER -