Content-Adaptive Finite Element Mesh Generation of 3-D Complex MR Volumes for Bioelectromagnetic Problems

Lee, W.H.; Kim, T.-S.; Cho, M.H.; Lee, S.Y.

doi:10.1109/iembs.2005.1615434

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Mesh generation of a complex anatomical structure is the first step before applying FE method to patient specific biomechanics problems. There have been numerous attempts to develop patient specific three dimensional finite element methods from CT/MRI data set [5], [8], [12], [19], [21]. However, to the best of our knowledge, automatic hexahedral 3D meshing algorithm based on B-spline heterogeneous modeling has not been used in computational biomechanics till date.…”

Section: Introductionmentioning

confidence: 99%

Finite Element Mesh Generation of Human Body Segment in 2-D and 3-D Using B-splineMethod

Pise

Bhatt

Srivastava

2012

Computer-Aided Design and Applications

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In studying subject specific biomechanical behavior of bio-object, finite element method offers number of advantages. Mesh generation and assignment of material property to each element-node is a fundamental and key issue in generation of accurate finite element model of any biological structure. Researchers offered number of methods of mesh generation to subject specific bio-object. In this work, we present B-spline based modeling and mesh generation methodology for bio-object like human body is presented. The distinct advantage of this method is that modeling and meshing is done in a single step along with true representation of material. For demonstration, mesh models of child femur, adult femur and a head from volumetric CT scan data are presented in 2D and 3D. A minimal scaled Jacobian criterion is used to evaluate the quality of quadrilateral and hexahedral elements. The results show that all quadrilateral and hexahedral element meshes are well shaped and able to capture both geometric and material feature accurately.

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Section: Introductionmentioning

confidence: 99%

Finite Element Mesh Generation of Human Body Segment in 2-D and 3-D Using B-splineMethod

Pise

Bhatt

Srivastava

2012

Computer-Aided Design and Applications

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“…Finally the paper is concluded with remarks on future works. Some preliminary results have been presented in Lee et al (2005).…”

Section: Introductionmentioning

confidence: 99%

Methods and evaluations of MRI content-adaptive finite element mesh generation for bioelectromagnetic problems

Cho

et al. 2006

Phys. Med. Biol.

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In studying bioelectromagnetic problems, finite element analysis (FEA) offers several advantages over conventional methods such as the boundary element method. It allows truly volumetric analysis and incorporation of material properties such as anisotropic conductivity. For FEA, mesh generation is the first critical requirement and there exist many different approaches. However, conventional approaches offered by commercial packages and various algorithms do not generate content-adaptive meshes (cMeshes), resulting in numerous nodes and elements in modelling the conducting domain, and thereby increasing computational load and demand. In this work, we present efficient content-adaptive mesh generation schemes for complex biological volumes of MR images. The presented methodology is fully automatic and generates FE meshes that are adaptive to the geometrical contents of MR images, allowing optimal representation of conducting domain for FEA. We have also evaluated the effect of cMeshes on FEA in three dimensions by comparing the forward solutions from various cMesh head models to the solutions from the reference FE head model in which fine and equidistant FEs constitute the model. The results show that there is a significant gain in computation time with minor loss in numerical accuracy. We believe that cMeshes should be useful in the FEA of bioelectromagnetic problems.

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Modelling the interaction of electromagnetic fields (10 MHz–10 GHz) with the human body: methods and applications

Hand¹

2008

Phys. Med. Biol.

135

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Numerical modelling of the interaction between electromagnetic fields (EMFs) and the dielectrically inhomogeneous human body provides a unique way of assessing the resulting spatial distributions of internal electric fields, currents and rate of energy deposition. Knowledge of these parameters is of importance in understanding such interactions and is a prerequisite when assessing EMF exposure or when assessing or optimizing therapeutic or diagnostic medical applications that employ EMFs. In this review, computational methods that provide this information through full time-dependent solutions of Maxwell's equations are summarized briefly. This is followed by an overview of safety- and medical-related applications where modelling has contributed significantly to development and understanding of the techniques involved. In particular, applications in the areas of mobile communications, magnetic resonance imaging, hyperthermal therapy and microwave radiometry are highlighted. Finally, examples of modelling the potentially new medical applications of recent technologies such as ultra-wideband microwaves are discussed.

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Content-Adaptive Finite Element Mesh Generation of 3-D Complex MR Volumes for Bioelectromagnetic Problems

Cited by 3 publications

References 9 publications

Finite Element Mesh Generation of Human Body Segment in 2-D and 3-D Using B-splineMethod

Finite Element Mesh Generation of Human Body Segment in 2-D and 3-D Using B-splineMethod

Methods and evaluations of MRI content-adaptive finite element mesh generation for bioelectromagnetic problems

Modelling the interaction of electromagnetic fields (10 MHz–10 GHz) with the human body: methods and applications

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