Simulation of Brain Mass Effect with an Arbitrary Lagrangian and Eulerian FEM
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 tissues 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.
ALEF brain mechanics mass effect intracranial stress estimation
Yasheng Chen Songbai Ji Xunlei Wu Hongyu An Hongtu Zhu Dinggang Shen Weili Lin
Dept.of Radiology, 3 Biostatistics Univ.of North Carolina at Chapel Hill,Chapel Hill, NC 27599, USA Thayer School of Engineering, Dartmouth Collage,Hanover, NH 03755, USA RENCI, 100 Europa Drive Suite 540Chapel Hill, NC 27517, USA Dept.of Radiology, 3 Biostatistics Univ.of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
国际会议
北京
英文
274-281
2010-09-01（万方平台首次上网日期，不代表论文的发表时间）