Development of the ultra-miniaturized inertial measurement unit WB3 for objective skill analysis and assessment in neurosurgery: Preliminary results

Massimiliano Zecca*, Salvatore Sessa, Zhuohua Lin, Takashi Suzuki, Tomoya Sasaki, Kazuko Itoh, Hiroshi Iseki, Atsuo Takanishi

*この研究の対応する著者

研究成果

13 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルMedical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings
ページ443-450
ページ数8
PART 1
DOI
出版ステータスPublished - 2009
イベント12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009 - London, United Kingdom
継続期間: 2009 9 202009 9 24

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 1
5761 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009
国/地域United Kingdom
CityLondon
Period09/9/2009/9/24

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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