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 | |
| Publication status | Published - Jun 2006 |
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Keywords
- Biomechanics metric
- Gesture analysis
- Laparoscopy
- Segmentation
- Surgical training
ASJC Scopus subject areas
- Transplantation
- Radiology Nuclear Medicine and imaging
Cite this
A biomechanical analysis of bi-manual coordination and depth perception in virtual laparoscopic surgery. / Cavallo, F.; Megali, G.; Sinigaglia, S.; Tonet, O.; Dario, P.; Pietrabissa, A.
In: International journal of computer assisted radiology and surgery, Vol. 1, No. SUPPL. 7, 06.2006, p. 162-165.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A biomechanical analysis of bi-manual coordination and depth perception in virtual laparoscopic surgery
AU - Cavallo, F.
AU - Megali, G.
AU - Sinigaglia, S.
AU - Tonet, O.
AU - Dario, P.
AU - Pietrabissa, A.
PY - 2006/6
Y1 - 2006/6
N2 - 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.
AB - 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.
KW - Biomechanics metric
KW - Gesture analysis
KW - Laparoscopy
KW - Segmentation
KW - Surgical training
UR - http://www.scopus.com/inward/record.url?scp=33748967961&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33748967961&partnerID=8YFLogxK
U2 - 10.1007/s11548-006-0018-8
DO - 10.1007/s11548-006-0018-8
M3 - Article
VL - 1
SP - 162
EP - 165
JO - Computer-Assisted Radiology and Surgery
JF - Computer-Assisted Radiology and Surgery
SN - 1861-6410
IS - SUPPL. 7
ER -