Title
Navigation system with real-time finite element analysis for minimally invasive surgery
Abstract
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.
Year
DOI
Venue
2013
10.1109/EMBC.2013.6610170 PubMed ID : 24110357
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
Keywords
Field
DocType
biological tissues,biomechanics,deformation,endoscopes,finite element analysis,medical image processing,neural nets,surgery,abdomen,biomechanical behavior,laparoscopic surgery,minimally invasive surgery,navigation system,neural network,neurofem,real endoscopic images,real-time fem-based simulation,real-time finite element analysis,soft tissue model,target tissues,tissue deformation,virtual images,real time systems,computational modeling,navigation
Virtual image,Computer vision,Laparoscopic surgery,Computer science,Navigation system,Finite element method,Artificial intelligence,Artificial neural network,Surgery,Tissue deformation
Conference
Volume
ISSN
Citations 
2013
1557-170X
0
PageRank 
References 
Authors
0.34
7
6
Name
Order
Citations
PageRank
Ken'Ichi Morooka115816.90
yousuke nakasuka200.34
Ryo Kurazume362274.18
Xian Chen4132.32
Tsutomu Hasegawa548571.41
Masaki Hashizume69827.83