The NIH/NIGMS
Center for Integrative Biomedical Computing

SCI Publications

2001


L. Zhukov, D.M. Weinstein, C.R. Johnson, R.S. Macleod. “Spatio-temporal Multi-dipole Source Localization Using ICA and Lead-Fields in FEM Head Models,” In Proceedings of the IEEE Engineering in Medicine and Biology Society 23rd Annual International Conference, Istanbul, Turkey Oct, 2001.


2000


C.R. Johnson, S.G. Parker, D. Weinstein. “Large-Scale Computational Science Applications Using the SCIRun Problem Solving Environment,” In Proceedings of The International Supercomputer Conference 2000, 2000.



G.L. Kindlmann, D.M. Weinstein, D. Hart. “Strategies for Direct Volume Rendering of Diffusion Tensor Fields,” In IEEE Trans. Vis & Comp. Graph., Vol. 6, No. 2, pp. 124--138. April-June, 2000.



Y. Livnat, S.G. Parker, C.R. Johnson. “Fast Isosurface Extraction Methods for Large Image Data Sets,” In Handbook of Medical Imaging, Edited by A.N. Bankman, Academic Press, San Diego, CA pp. 731--745. Nov, 2000.



D.M. Weinstein, L. Zhukov, G. Potts. “Localization of Multiple Deep Epileptic Sources in a Realistic Head Model via Independent Component Analysis,” School of Computing Technical Report, No. UUCS-2000-004, University of Utah, February, 2000.



D.M. Weinstein, L. Zhukov, C.R. Johnson. “Lead-Field Bases for EEG Source Imaging,” In Annal. Biomed. Eng., Vol. 28, No. 9, pp. 1059--1065. Sep, 2000.



D. Weinstein. “Scanline Surfacing: Building Separating Surfaces from Planar Contours,” In Proceeding of IEEE Visualization 2000, pp. 283--289. 2000.



D.M. Weinstein, L. Zhukov, C.R. Johnson. “An Inverse EEG Problem Solving Environment and its Applications to EEG Source Localization,” In NeuroImage (suppl.), pp. 921. 2000.



D.M. Weinstein, L. Zhukov, C.R. Johnson, S.G. Parker, R. Van Uitert, R.S. MacLeod, C.D. Hansen. “Interactive Source Imaging with BioPSE,” In Chicago 2000 World Congress on Medical Physics and Biomedical Engineering, Chicago, IL., Note: Refereed abstract., July, 2000.



D.M. Weinstein, P. Krysl, C.R. Johnson. “The BioPSE Inverse EEG Modeling Pipeline,” In ISGG 7th International Conference on Numerical Grid Generation in Computation Field Simulations, The International Society of Grid Generation, Mississippi State University pp. 1091--1100. 2000.



L. Zhukov, D. Weinstein, C.R. Johnson. “Statistical Analysis For FEM EEG Source Localization in Realistic Head Models,” School of Computing Technical Report, No. UUCS-2000-003, University of Utah, February, 2000.



L. Zhukov, D.M. Weinstein, C.R. Johnson. “Reciprocity Basis for EEG Source Imaging,” In NeuroImage (suppl.), pp. 598. 2000.



L. Zhukov, D. Weinstein, C.R. Johnson. “Independent Component Analysis for EEG Source Localization in Realistic Head Models,” In IEEE Engineering in Medicine and Biology, Vol. 19, No. 3, pp. 87--96. 2000.


1999


D.H. Brooks, G.F. Ahmad, R.S. MacLeod, G.M. Maratos. “Inverse Electrocardiography by Simultaneous Imposition of Multiple Constraints,” In IEEE Trans Biomed. Eng., Vol. 46, No. 1, pp. 3--18. 1999.



C.R. Johnson, S.G. Parker, C.D. Hansen, G.L. Kindlmann, Y. Livnat. “Interactive Simulation and Visualization,” In IEEE Computer, Vol. 32, No. 12, pp. 59--65. Dec, 1999.



M. Miller, C.D. Hansen, C.R. Johnson. “The SCIRun Problem Solving Environment: Implementation within a Distributed Environment,” In Ninth SIAM Conference on Parallel Processing for Scientific Computing, Note: extended abstract, 1999.



D.M. Weinstein, L. Zhukov, C.R. Johnson. “Lead Field Basis for FEM Source Localization,” School of Computing Technical Report, No. UUCS-99-014, University of Utah, Salt Lake City, UT October, 1999.



L. Zhukov, D.M. Weinstein, C.R. Johnson. “Independent Component Analysis For EEG Source Localization In Realistic Head Models,” In Third International Conference on Inverse Problems in Engineering, 1999.


1992


C.R. Johnson, R.S. MacLeod, P.R. Ershler. “A Computer Model for the Study of Electrical Current Flow in the Human Thorax,” In Computers in Biology and Medicine, Vol. 22, No. 5, Elsevier BV, pp. 305--323. 1992.

ABSTRACT

Electrocardiography has played an important role in the detection and characterization of heart function, both in normal and abnormal states. In this paper we present an inhomogeneous, anisotropic computer model of the human thorax for use in electrocardiography with emphasis on the calculation of transthoracic potential and current distributions. Knowledge of the current pathways in the thorax has many applications in electrocardiography and has direct utility in studies pertaining to cardiac defibrillation, forward and inverse problems, impedance tomography, and electrode placement in electrocardiography.

Keywords: scalar field methods, vector field methods, tensor field methods, cardiac heart, scientific visualization