TY - GEN
T1 - Navigation system with real-time finite element analysis for minimally invasive surgery
AU - Morooka, Ken'Ichi
AU - Nakasuka, Yousuke
AU - Kurazume, Ryo
AU - Chen, Xian
AU - Hasegawa, Tsutomu
AU - Hashizume, Makoto
PY - 2013/10/31
Y1 - 2013/10/31
N2 - This paper presents a navigation system for minimally invasive surgery, especially laparoscopic surgery in which operates in abdomen. Conventional navigation systems show virtual images by superimposing models of target tissues on real endoscopic images. Since soft tissues within the abdomen are deformed during the surgery, the navigation system needs to provide surgeons reliable information by deforming the models according to their biomechanical behavior. However, conventional navigation systems don't consider the tissue deformation during the surgery. We have been developing a new real-time FEM-based simulation for deforming a soft tissue model by using neural network[1]. The network is called the neuroFEM. The incorporation of the neuroFEM into the navigation leads to improve the accuracy of the navigation system. In this paper, we propose a new navigation system with a framework of the neuroFEM.
AB - This paper presents a navigation system for minimally invasive surgery, especially laparoscopic surgery in which operates in abdomen. Conventional navigation systems show virtual images by superimposing models of target tissues on real endoscopic images. Since soft tissues within the abdomen are deformed during the surgery, the navigation system needs to provide surgeons reliable information by deforming the models according to their biomechanical behavior. However, conventional navigation systems don't consider the tissue deformation during the surgery. We have been developing a new real-time FEM-based simulation for deforming a soft tissue model by using neural network[1]. The network is called the neuroFEM. The incorporation of the neuroFEM into the navigation leads to improve the accuracy of the navigation system. In this paper, we propose a new navigation system with a framework of the neuroFEM.
UR - http://www.scopus.com/inward/record.url?scp=84886527267&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84886527267&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2013.6610170
DO - 10.1109/EMBC.2013.6610170
M3 - Conference contribution
C2 - 24110357
AN - SCOPUS:84886527267
SN - 9781457702167
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 2996
EP - 2999
BT - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
T2 - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Y2 - 3 July 2013 through 7 July 2013
ER -