Presentation 2011-05-20
Real-time Simulation for Stomach Deformation by Using Multiple Neural Networks
Ken'ichi MOROOKA, Xian CHEN, Makoto HASHIZUME, Tsutomu HASEGAWA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents a method for simulating the behavior of stomach with large-scale deformation. This simulator is generated by the real-time FEM-based analysis by using a neural network. There are various deformation patterns of hollow organs by changing both its shape and volume. In this case, one network can not learn the stomach deformation with a huge number of its deformation pattern. To overcome the problem, we propose a method of constructing the simulator composed of multiple neural networks by 1)partitioning a training dataset into several subsets, and 2)selecting the data included in each subset. From our experimental results, we can conclude that our method can speed up the training process of a neural network while keeping acceptable accuracy.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) tissue deformation / real-time finite element analysis / neural network
Paper # IE2011-23,PRMU2011-15,MI2011-15
Date of Issue

Conference Information
Committee PRMU
Conference Date 2011/5/12(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Real-time Simulation for Stomach Deformation by Using Multiple Neural Networks
Sub Title (in English)
Keyword(1) tissue deformation
Keyword(2) real-time finite element analysis
Keyword(3) neural network
1st Author's Name Ken'ichi MOROOKA
1st Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University()
2nd Author's Name Xian CHEN
2nd Author's Affiliation Faculty of Engineering, Yamaguchi University
3rd Author's Name Makoto HASHIZUME
3rd Author's Affiliation Graduate School of Medical Sciences, Kyushu University
4th Author's Name Tsutomu HASEGAWA
4th Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University
Date 2011-05-20
Paper # IE2011-23,PRMU2011-15,MI2011-15
Volume (vol) vol.111
Number (no) 48
Page pp.pp.-
#Pages 6
Date of Issue