3-D diffusion tensor MRI anisotropy content-adaptive finite element head model generation for bioelectromagnetic imaging

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 4003-4006

  Lee, W H ^a,b   Kim, T S ^a,b   Kim, Andrew T ^c   Lee, S Y ^a,b  

^a Department of Biomedical Engineering ^*  (South Korea)

^b Yongin University   (South Korea)

^c SAMSUNG Electronics   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ANISOTROPY; FINITE ELEMENT METHOD; INVERSE PROBLEMS; MAGNETIC RESONANCE IMAGING; MESH GENERATION; TENSORS;

ACCURATE COMPUTATIONS; ANISOTROPIC ELECTRICAL CONDUCTIVITY; ANISOTROPIC MATERIAL PROPERTIES; ANISOTROPIC PROPERTY; DIFFUSION TENSOR MRI; ELECTRICAL POTENTIAL; MESH-GENERATION SCHEME; WHITE MATTER ANISOTROPY;

DIFFUSION TENSOR IMAGING;

ALGORITHM; ANISOTROPY; ARTICLE; AUDIOVISUAL EQUIPMENT; BIOPHYSICS; BRAIN; ELECTRIC CONDUCTIVITY; ELECTROENCEPHALOGRAPHY; ELECTROMAGNETIC FIELD; FINITE ELEMENT ANALYSIS; HEAD; HISTOLOGY; HUMAN; IMPEDANCE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; STATISTICAL MODEL;

ALGORITHMS; ANISOTROPY; BIOPHYSICAL PHENOMENA; BIOPHYSICS; BRAIN; ELECTRIC CONDUCTIVITY; ELECTRIC IMPEDANCE; ELECTROENCEPHALOGRAPHY; ELECTROMAGNETIC PHENOMENA; FINITE ELEMENT ANALYSIS; HEAD; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, ANATOMIC; MODELS, STATISTICAL;

EID: 61849108781     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650087     Document Type: Conference Paper

References (11)

1. J. W. H. Meijs, O. W. Weier, M. J. Peters, and A. V. Oosterom, "On the numerical accuracy of the boundary element method," IEEE Trans. Biomed., Eng., vol. 36, pp. 1038-1049, 1989.
2. L. A. Neilson, M. Kovalyov, and Z. J. Koles, "A computationally efficient method for accurately solving the EEG forward problem in a finely discretized head model," Clin. Neurophysiol., vol. 116, pp. 2302-2314, 2005.
3. G. Martin, C. Guerin, S. Baillet, L. Garnero, and G. Meunier, "Influence of skull Anisotropy for the forward and inverse problem in EEG: simulation studies using FEM on realistic head models," Human Brain Mapping, vol. 6, pp. 250-269, 1998.
4. C. H. Wolters, A. Anwander, X. Tricoche, D. Weinstein, M. A. Koch, and R. S. MacLeod, "Influence of tissue conductivity anisotropy on EEG/MEG field and return current computation in a realistic head model," Neurolmage, vol. 30, pp. 813-826, 2006.
5. J. Haueisen, D. S. Tuch, C. Ramon, P. H. Schimpf, V. J. Wedeen, J. S. George, and J. W. Belliveau, "The influence of brain tissue anisotropy on human EEG and MEG," Neurolmage, vol. 15, pp. 159-166, 2002.
6. D. Gullmar, J. Haueisen, J. R. Reichenbach, "Influence of anisotropic conductivity measured using DTI on the EEG forward solution: a whole human head sensitivity analysis," Proc. Intl. Soc. Mag. Reson. Med., pp. 1528, 2007.
7. W. H. Lee, T.-S. Kim, M. H. Cho, Y. B. Ahn, and S. Y. Lee, "Methods and evaluations of MRI content-adaptive finite element mesh generation for bioelectromagnetic problems," Phys. Med. Biol., vol. 51, no. 23, pp. 6173-6186, 2006.
8. D. L. Bihan, J.-F. Mangin, C. A. Clark, S. Pappata, N. Molko, and H. Chabriat, "Diffusion tensor imaging: concepts and applications," J. MRI., vol. 13, pp. 534-546, 2001.
9. P. J. Basser, J. Mattiello, and D. LeBihan, "MR diffusion tensor spectroscopy and imaging," Biophys. J., vol. 66, pp. 259-267, 1994.
10. D. Tuch, V. Wedeen, A. Dale, J. George, and J. Belliveau, "Conductivity tensor mapping of the human brain using diffusion tensor MRI," Proc. Natl. Acad. Sci. USA, vol. 98, no. 20, pp. 11697-11701, 2001.
11. ANSYS. Available: http://www.ansvs.com/