Simulation of brain mass effect with an arbitrary Lagrangian and Eulerian FEM

Yasheng Chen, Songbai Ji, Xunlei Wu, Hongyu An, Hongtu Zhu, Dinggang Shen, Weili Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Estimation of intracranial stress distribution caused by mass effect is critical to the management of hemorrhagic stroke or brain tumor patients, who may suffer severe secondary brain injury from brain tissue compression. Coupling with physiological parameters that are readily available using MRI, eg, tissue perfusion, a non-invasive, quantitative and regional estimation of intracranial stress distribution could offer a better understanding of brain tissue's reaction under mass effect. A quantitative and sound measurement serving this particular purpose remains elusive due to multiple challenges associated with biomechanical modeling of the brain. One such challenge for the conventional Lagrangian frame based finite element method (LFEM) is that the mesh distortion resulted from the expansion of the mass effects can terminate the simulation prematurely before the desired pressure loading is achieved. In this work, we adopted an arbitrary Lagrangian and Eulerian FEM method (ALEF) with explicit dynamic solutions to simulate the expansion of brain mass effects caused by a pressure loading. This approach consists of three phases: 1) a Lagrangian phase to deform mesh like LFEM, 2) a mesh smoothing phase to reduce mesh distortion, and 3) an Eulerian phase to map the state variables from the old mesh to the smoothed one. In 2D simulations with simulated geometries, this approach is able to model substantially larger deformations compared to LFEM. We further applied this approach to a simulation with 3D real brain geometry to quantify the distribution of von Mises stress within the brain.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages274-281
Number of pages8
Volume6362 LNCS
EditionPART 2
DOIs
Publication statusPublished - 2010 Nov 22
Externally publishedYes
Event13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010 - Beijing, China
Duration: 2010 Sep 202010 Sep 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6362 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010
CountryChina
CityBeijing
Period10/9/2010/9/24

Fingerprint

Brain
Finite element method
Arbitrary
Mesh
Simulation
Finite Element Method
Stress Distribution
Tissue
Stress concentration
Mesh Smoothing
Brain Tumor
Acoustic variables measurement
Large Deformation
Terminate
Geometry
Stroke
Magnetic resonance imaging
Quantify
Compression
Tumors

Keywords

  • ALEF
  • brain mechanics
  • intracranial stress estimation
  • mass effect

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Chen, Y., Ji, S., Wu, X., An, H., Zhu, H., Shen, D., & Lin, W. (2010). Simulation of brain mass effect with an arbitrary Lagrangian and Eulerian FEM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 6362 LNCS, pp. 274-281). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6362 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-15745-5_34

Simulation of brain mass effect with an arbitrary Lagrangian and Eulerian FEM. / Chen, Yasheng; Ji, Songbai; Wu, Xunlei; An, Hongyu; Zhu, Hongtu; Shen, Dinggang; Lin, Weili.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6362 LNCS PART 2. ed. 2010. p. 274-281 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6362 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, Y, Ji, S, Wu, X, An, H, Zhu, H, Shen, D & Lin, W 2010, Simulation of brain mass effect with an arbitrary Lagrangian and Eulerian FEM. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 6362 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6362 LNCS, pp. 274-281, 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010, Beijing, China, 10/9/20. https://doi.org/10.1007/978-3-642-15745-5_34
Chen Y, Ji S, Wu X, An H, Zhu H, Shen D et al. Simulation of brain mass effect with an arbitrary Lagrangian and Eulerian FEM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 6362 LNCS. 2010. p. 274-281. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-15745-5_34
Chen, Yasheng ; Ji, Songbai ; Wu, Xunlei ; An, Hongyu ; Zhu, Hongtu ; Shen, Dinggang ; Lin, Weili. / Simulation of brain mass effect with an arbitrary Lagrangian and Eulerian FEM. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6362 LNCS PART 2. ed. 2010. pp. 274-281 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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