A biomechanical analysis of bi-manual coordination and depth perception in virtual laparoscopic surgery

F. Cavallo; G. Megali; S. Sinigaglia; O. Tonet; P. Dario; A. Pietrabissa

doi:10.1007/s11548-006-0018-8

A biomechanical analysis of bi-manual coordination and depth perception in virtual laparoscopic surgery

F. Cavallo, G. Megali, S. Sinigaglia, O. Tonet, P. Dario, A. Pietrabissa

IRCCS Fondazione Policlinico San Matteo

Research output: Contribution to journal › Article › peer-review

Abstract

Minimally invasive surgery has become very common in recent years thanks to the many advantages that patients can obtain However, due to the difficulties surgeons encounter to learn and master this technique, several training methods and metrics have been proposed in order to, respectively, improve the surgeon's abilities and assess his/her skills. In this context, this paper presents the estimation of some biomechanical parameters and a segmentation algorithm to deeply investigate the surgeon's movements and to divide them into sub-movements. Segmentation allows to identify different phases of the exercise and also to distinguish the hand which is actively used in the task from the hand that is just holding the instrument.

Original language	English
Pages (from-to)	162-165
Number of pages	4
Journal	International journal of computer assisted radiology and surgery
Volume	1
Issue number	SUPPL. 7
DOIs	https://doi.org/10.1007/s11548-006-0018-8
Publication status	Published - Jun 2006

Keywords

Biomechanics metric
Gesture analysis
Laparoscopy
Segmentation
Surgical training

ASJC Scopus subject areas

Transplantation
Radiology Nuclear Medicine and imaging

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AU - Megali, G.

AU - Sinigaglia, S.

AU - Tonet, O.

AU - Dario, P.

AU - Pietrabissa, A.

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KW - Segmentation

KW - Surgical training

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A biomechanical analysis of bi-manual coordination and depth perception in virtual laparoscopic surgery

Abstract

Keywords

ASJC Scopus subject areas

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