Real-time nonlinear FEM with neural network for simulating soft organ model deformation

Ken'Ichi Morooka; Xian Chen; Ryo Kurazume; Seiichi Uchida; Kenji Hara; Yumi Iwashita; Makoto Hashizume

doi:10.1007/978-3-540-85990-1_89

Real-time nonlinear FEM with neural network for simulating soft organ model deformation

Ken'Ichi Morooka, Xian Chen, Ryo Kurazume, Seiichi Uchida, Kenji Hara, Yumi Iwashita, Makoto Hashizume

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

30 Citations (Scopus)

Abstract

This paper presents a new method for simulating the deformation of organ models by using a neural network. The proposed method is based on the idea proposed by Chen et al. [2] that a deformed model can be estimated from the superposition of basic deformation modes. The neural network finds a relationship between external forces and the models deformed by the forces. The experimental results show that the trained network can achieve a real-time simulation while keeping the acceptable accuracy compared with the nonlinear FEM computation.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings
Publisher	Springer Verlag
Pages	742-749
Number of pages	8
Edition	PART 2
ISBN (Print)	3540859896, 9783540859895
DOIs	https://doi.org/10.1007/978-3-540-85990-1_89
Publication status	Published - 2008
Externally published	Yes
Event	11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008 - New York, NY, United States Duration: Sept 6 2008 → Sept 10 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5242 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008
Country/Territory	United States
City	New York, NY
Period	9/6/08 → 9/10/08

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-85990-1_89

Cite this

Morooka, KI., Chen, X., Kurazume, R., Uchida, S., Hara, K., Iwashita, Y., & Hashizume, M. (2008). Real-time nonlinear FEM with neural network for simulating soft organ model deformation. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings (PART 2 ed., pp. 742-749). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5242 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-540-85990-1_89

Real-time nonlinear FEM with neural network for simulating soft organ model deformation. / Morooka, Ken'Ichi; Chen, Xian; Kurazume, Ryo et al.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings. PART 2. ed. Springer Verlag, 2008. p. 742-749 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5242 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Morooka, KI, Chen, X, Kurazume, R, Uchida, S, Hara, K, Iwashita, Y & Hashizume, M 2008, Real-time nonlinear FEM with neural network for simulating soft organ model deformation. in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5242 LNCS, Springer Verlag, pp. 742-749, 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008, New York, NY, United States, 9/6/08. https://doi.org/10.1007/978-3-540-85990-1_89

Morooka KI, Chen X, Kurazume R, Uchida S, Hara K, Iwashita Y et al. Real-time nonlinear FEM with neural network for simulating soft organ model deformation. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings. PART 2 ed. Springer Verlag. 2008. p. 742-749. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-540-85990-1_89

Morooka, Ken'Ichi ; Chen, Xian ; Kurazume, Ryo et al. / Real-time nonlinear FEM with neural network for simulating soft organ model deformation. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings. PART 2. ed. Springer Verlag, 2008. pp. 742-749 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{f9594ec2b8024a15b255be15449643c4,

title = "Real-time nonlinear FEM with neural network for simulating soft organ model deformation",

abstract = "This paper presents a new method for simulating the deformation of organ models by using a neural network. The proposed method is based on the idea proposed by Chen et al. [2] that a deformed model can be estimated from the superposition of basic deformation modes. The neural network finds a relationship between external forces and the models deformed by the forces. The experimental results show that the trained network can achieve a real-time simulation while keeping the acceptable accuracy compared with the nonlinear FEM computation.",

author = "Ken'Ichi Morooka and Xian Chen and Ryo Kurazume and Seiichi Uchida and Kenji Hara and Yumi Iwashita and Makoto Hashizume",

note = "Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008 ; Conference date: 06-09-2008 Through 10-09-2008",

year = "2008",

doi = "10.1007/978-3-540-85990-1_89",

language = "English",

isbn = "3540859896",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

number = "PART 2",

pages = "742--749",

booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings",

edition = "PART 2",

}

TY - GEN

T1 - Real-time nonlinear FEM with neural network for simulating soft organ model deformation

AU - Morooka, Ken'Ichi

AU - Chen, Xian

AU - Kurazume, Ryo

AU - Uchida, Seiichi

AU - Hara, Kenji

AU - Iwashita, Yumi

AU - Hashizume, Makoto

PY - 2008

Y1 - 2008

N2 - This paper presents a new method for simulating the deformation of organ models by using a neural network. The proposed method is based on the idea proposed by Chen et al. [2] that a deformed model can be estimated from the superposition of basic deformation modes. The neural network finds a relationship between external forces and the models deformed by the forces. The experimental results show that the trained network can achieve a real-time simulation while keeping the acceptable accuracy compared with the nonlinear FEM computation.

AB - This paper presents a new method for simulating the deformation of organ models by using a neural network. The proposed method is based on the idea proposed by Chen et al. [2] that a deformed model can be estimated from the superposition of basic deformation modes. The neural network finds a relationship between external forces and the models deformed by the forces. The experimental results show that the trained network can achieve a real-time simulation while keeping the acceptable accuracy compared with the nonlinear FEM computation.

UR - http://www.scopus.com/inward/record.url?scp=58849156899&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=58849156899&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-85990-1_89

DO - 10.1007/978-3-540-85990-1_89

M3 - Conference contribution

C2 - 18982671

AN - SCOPUS:58849156899

SN - 3540859896

SN - 9783540859895

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 742

EP - 749

BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings

PB - Springer Verlag

T2 - 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008

Y2 - 6 September 2008 through 10 September 2008

ER -

Real-time nonlinear FEM with neural network for simulating soft organ model deformation

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this